Topic
Session
description
Analytics & Big Data
ABD201
Big Data Architectural Patterns and Best Practices on AWS
Analytics & Big Data
ABD202
Best Practices for Building Serverless Big Data Applications
Analytics & Big Data
ABD203
Real-Time Streaming Applications on AWS: Use Cases and Patterns
Analytics & Big Data
ABD205
Taking a Page Out of Ivy Tech’s Book: Using Data for Student Success
Analytics & Big Data
ABD206
Building Visualizations and Dashboards with Amazon QuickSight
Analytics & Big Data
ABD207
Leveraging AWS to Fight Financial Crime and Protect National Security
Analytics & Big Data
ABD208
Cox Automotive Empowered to Scale with Splunk Cloud & AWS and Explores New Innovation with Amazon Kinesis Firehose
Analytics & Big Data
ABD209
Accelerating the Speed of Innovation with a Data Sciences Data & Analytics Hub at Takeda
Analytics & Big Data
ABD210
Modernizing Amtrak: Serverless Solution for Real-Time Data Capabilities
Analytics & Big Data
ABD211
Sysco Foods: A Journey from Too Much Data to Curated Insights
Analytics & Big Data
ABD212
SAP HANA: The Foundation of SAP’s Digital Core
Analytics & Big Data
ABD213
How to Build a Data Lake with AWS Glue Data Catalog
Analytics & Big Data
ABD214
Real-time User Insights for Mobile and Web Applications with Amazon Pinpoint
Analytics & Big Data
ABD216
NEW LAUNCH! Introducing Amazon Kinesis Video Streams
Analytics & Big Data
ABD217
From Batch to Streaming: How Amazon Flex Uses Real-time Analytics to Deliver Packages on Time
Analytics & Big Data
ABD218
How EuroLeague Basketball Uses IoT Analytics to Engage Fans
Analytics & Big Data
ABD222
How to Confidently Unleash Data to Meet the Needs of Your Entire Organization
Analytics & Big Data
ABD223
IT Innovators: New Technology for Leveraging Data to Enable Agility. Innovation. and Business Optimization
Analytics & Big Data
ABD301
Analyzing Streaming Data in Real Time with Amazon Kinesis
Analytics & Big Data
ABD302
Real-Time Data Exploration and Analytics with Amazon Elasticsearch Service and Kibana
Analytics & Big Data
ABD303
Developing an Insights Platform – Sysco’s Journey from Disparate Systems to Data Lake and Beyond
Analytics & Big Data
ABD304
Best Practices for Data Warehousing with Amazon Redshift & Redshift Spectrum
Analytics & Big Data
ABD305
Design Patterns and Best Practices for Data Analytics with Amazon EMR
Analytics & Big Data
ABD307
Deep Analytics for Global AWS Marketing Organization
Analytics & Big Data
ABD309
How Twilio Scaled Its Data-Driven Culture
Analytics & Big Data
ABD310
How FINRA Secures Its Big Data and Data Science Platform on AWS
Analytics & Big Data
ABD311
Deploying Business Analytics at Enterprise Scale with Amazon QuickSight
Analytics & Big Data
ABD312
Deep Dive: Migrating Big Data Workloads to AWS
Analytics & Big Data
ABD315
Building Serverless ETL Pipelines with AWS Glue
Analytics & Big Data
ABD316
American Heart Association: Finding Cures to Heart Disease Through the Power of Technology
Analytics & Big Data
ABD318
Architecting a data lake with Amazon S3. Amazon Kinesis. and Amazon Athena
Analytics & Big Data
ABD319
Tooling Up for Efficiency: DIY Solutions @ Netflix
Analytics & Big Data
ABD320
Netflix Keystone SPaaS: Real-time Stream Processing as a Service
Analytics & Big Data
ABD327
Migrating Your Traditional Data Warehouse to a Modern Data Lake
Analytics & Big Data
ABD329
A Look Under the Hood – How Amazon.com Uses AWS Services for Analytics at Massive Scale
Analytics & Big Data
ABD330
Combining Batch and Stream Processing to Get the Best of Both Worlds
Analytics & Big Data
ABD331
Log Analytics at Expedia Using Amazon Elasticsearch Service
Analytics & Big Data
ABD335
Real-Time Anomaly Detection Using Amazon Kinesis
Analytics & Big Data
ABD337
Making the Shift from DevOps to Practical DevSecOps
Analytics & Big Data
ABD338
MirrorWeb: Powering Large-scale. Full-text Search for the UK Government Web Archives Using Amazon Elasticsearch Service
Analytics & Big Data
ABD339
Deep Dive and Best Practices for Amazon Athena
Analytics & Big Data
ABD401
How Netflix Monitors Applications in Near Real-Time with Amazon Kinesis
Analytics & Big Data
ABD402
How Esri Optimizes Massive Image Archives for Analytics in the Cloud
Analytics & Big Data
ABD403
Best Practices for Distributed Machine Learning and Predictive Analytics Using Amazon EMR and Open-Source Tools
Alexa
ALX201
Building Alexa-Connected Products and Experiences with Alexa Gadgets Developer Tools
Alexa
ALX202
Integrate Alexa voice technology into your product with the Alexa Voice Service (AVS)
Alexa
ALX203
How Voice Technology Is Moving Higher Education to a New Era
Alexa
ALX204
NEW LAUNCH!Building Alexa Skills for Businesses
Alexa
ALX303
The Art and Science of Conversation Applied to Alexa Skills
Alexa
ALX317
How Capital One Rethought Multimodal Voice Experiences and Brought Banking to the Kitchen with Echo Show
Alexa
ALX318
Voice Plus Screen: How to Design Multi-Modal Devices with the Alexa Voice Service
Alexa
ALX319
It’s All in the Data: The Machine Learning Behind Alexa’s AI Systems
Alexa
ALX320
The Science behind the Alexa Prize: Meeting the AI Challenges
Alexa
ALX321
Alexa State of the Science
Alexa
ALX322
Natural Language Processing Plus Natural Language Generation: The Cutting Edge of Voice Design
Alexa
ALX324
Alexa State of the Union: Amazon’s Vision for Alexa and Voice
Alexa
ALX325
Now Hear This: How Earplay Architects an Alexa Radio Drama
Alexa
ALX326
Applying Alexa's Natural Language To Your Challenges
Alexa
ALX328
Smart Devices Everywhere
Automotive & Manufacturing
AMF301
Big Data & Analytics for Manufacturing Operations
Automotive & Manufacturing
AMF302
Alexa. Where’s My Car? A Test Drive of the AWS Connected Car Reference
Automotive & Manufacturing
AMF304
Optimizing Design and Engineering Performance in the Cloud for Manufacturing
Automotive & Manufacturing
AMF305
Autonomous Driving Algorithm Development on Amazon AI
Architecture
ARC201
Scaling Up to Your First 10 Million Users
Architecture
ARC205
Born in the Cloud. Built like a Startup
Architecture
ARC206
Disney's Magic: The Story of Cloud Transformation
Architecture
ARC207
Monitoring Performance of Enterprise Applications on AWS: Understanding the Dynamic Nature of Cloud Computing
Architecture
ARC208
Walking the Tightrope: Balancing Innovation. Reliability. Security. and Efficiency on the Cloud
Architecture
ARC209
A Day in the Life of a Netflix Engineer III
Architecture
ARC210
Building Scalable Multitenant Email Sending Programs with Amazon Simple Email Service
Architecture
ARC213
Open Source at AWS—Contributions. Support. and Engagement
Architecture
ARC217
Self-Service Analytics with AWS Big Data and Tableau
Architecture
ARC219
Digital Transformation
Architecture
ARC303
Running Lean Architectures: How to Optimize for Cost Efficiency
Architecture
ARC304
From One to Many: Evolving VPC Design
Architecture
ARC306
High Resiliency & Availability of online entertainment Communities Using Multiple AWS Regions
Architecture
ARC310
Avoiding Groundhog Day - Enabling Transformation on Day 1. 100. or 1000 of your Journey to the Cloud
Architecture
ARC311
Serverless Encoding at Scale with Content Moderation via Deep Learning-Based Video Analysis
Architecture
ARC312
Why Regional Reserved Instances Are a Game Changer for Netflix
Architecture
ARC313
Exploring Blockchain Technology. Risks. and Emerging Trends
Architecture
ARC314
Bringing the Superpower of Bots to Your Company with a Serverless Bot Solution Built on AWS
Architecture
ARC315
The Enterprise Fast Lane - What Your Competition Doesn't Want You to Know about Enterprise Cloud Transformation
Architecture
ARC316
Getting from Here to There: A Journey from On-premises to Serverless Architecture
Architecture
ARC317
Application Performance Management on AWS
Architecture
ARC318
Building .NET-based Serverless Architectures and Running .NET Core Microservices in Docker Containers on AWS
Architecture
ARC319
How to Design a Multi-Region Active-Active Architecture
Architecture
ARC320
Reinforcement Learning – The Ultimate AI
Architecture
ARC321
Models of Availability
Architecture
ARC329
Optimizing Performance and Efficiency for Amazon EC2 and More with Turbonomic
Architecture
ARC330
How the BBC Built a Massive Media Pipeline Using Microservices
Architecture
ARC331
How I Made My Motorbike Talk. or How to Mix Amazon Lex. Amazon Lambda. and IoT to Give Life to Everyday Objects
Architecture
ARC401
Serverless Architectural Patterns and Best Practices
Architecture
ARC402
Architectural Patterns and Best Practices with VMware Cloud on AWS
Architecture
ARC403
Encoding Artifacts to the Oscars: Taking on Terabyte-Scale. 1-Gbps. 4K Video Processing in the Cloud
Architecture
ARC404
Metering the Hybrid Cloud
Architecture
ARC405
Building a Photorealistic Real-Time 3D Configurator with Server-Side Renderings on AWS
Architecture
ARC406
Amazon.com - Replacing 100s of Oracle DBs with Just One: DynamoDB
Architecture
ARC407
Deconstructing SaaS: A Deep Dive into Building Multi-tenant Solutions on AWS
AdTech
ATC301
1 Million bids in 100ms – using AWS to power your Real Time Bidder
AdTech
ATC302
How to Leverage AWS Machine Learning Services to Analyze and Optimize your Google DoubleClick Campaign Manager Data at Scale
AdTech
ATC303
Cache Me If You Can: Minimizing Latency While Optimizing Cost Through Advanced Caching Strategies
AdTech
ATC304
RFID (Really Freaking Indispensable and Decisive) Advertising
Business Apps
BAP201
KAR Auction Services’ Journey To The Cloud
Business Apps
BAP202
Amazon Connect Delivers Personalized Customer Experiences for Your Cloud-Based Contact Center
Business Apps
BAP203
Secure File Collaboration and Management. Simplified with Amazon WorkDocs
Business Apps
BAP204
How Amazon Is Moving to Amazon Chime
Business Apps
BAP206
NEW LAUNCH! Bring Alexa to Work! Voice-enable Your Organization with Alexa for Business
Business Apps
BAP301
Bring the Power of AI to Contact Centers
Business Apps
BAP302
User Self-Service and Admin Portals for Amazon WorkSpaces
Business Apps
BAP303
Migrate Your Desktops to Amazon WorkSpaces
Business Apps
BAP304
How To Use AWS IoT and Amazon Connect to Drive Proactive Customer Service
Business Apps
BAP308
NEW LAUNCH! Deploying and Managing Voice Skills in your Organization with Alexa for Business
Business Apps
BAP309
NEW LAUNCH! Building Smart Conference Rooms with Alexa for Business
Business Apps
BAP310
Move Your Virtualized Desktop Apps to the Cloud with Amazon AppStream 2.0
Business Apps
BAP311
Rethink Your Graphics Workstation Strategy with Amazon AppStream 2.0
Compute
CMP201
Auto Scaling: The Fleet Management Solution for Planet Earth
Compute
CMP202
Optimizing EC2 for Fun and Profit #bigsavings #newfeatures
Compute
CMP203
Amazon EC2 Foundations
Compute
CMP207
High Performance Computing on AWS
Compute
CMP208
Unleash Your Graphics Solutions with the Flexibility of Elastic GPUs
Compute
CMP209
Getting Started with Docker on AWS
Compute
CMP211
Getting Started with Serverless Architectures
Compute
CMP212
Zero to Lightspeed: Building production apps easily with Amazon Lightsail
Compute
CMP213
GPU (G3) Applications in Media and Entertainment Workloads
Compute
CMP214
Simplifying Microsoft Architectures with AWS
Compute
CMP215
Introducing Amazon EC2 P3 Instance - Featuring the Most Powerful GPU for Machine Learning
Compute
CMP217
Scale In-Memory Workloads on Amazon EC2 X1 and X1e Instances with up to 4 TB of RAM
Compute
CMP218
AWS Compute: What’s New in Amazon EC2. Containers and Serverless
Compute
CMP301
Deep Dive on Amazon EC2 Instances. Featuring Performance Optimization Best Practices
Compute
CMP303
Innovate Faster with Salesforce Heroku and AWS
Compute
CMP304
Deep Dive: Backing Up Amazon EC2 with Amazon EBS Snapshots
Compute
CMP306
Architectures for HPC/HTC Workloads on AWS
Compute
CMP307
Save up to 90% and Run Production Workloads on Spot
Compute
CMP308
FPGA Accelerated Computing Using Amazon EC2 F1 Instances
Compute
CMP309
How Netflix Encodes at Scale
Compute
CMP310
Deep Dive on Amazon EBS
Compute
CMP311
Auto Scaling Prime Time: Target Tracking Hits the Bullseye at Netflix
Compute
CMP314
Bringing Deep Learning to the Cloud with Amazon EC2
Compute
CMP315
Optimizing Network Performance for Amazon EC2 Instances
Compute
CMP319
Easily Coordinate Microservices. Build Serverless Apps. and Automate Tasks as Visual Workflows using AWS Step Functions
Compute
CMP323
AWS Batch: Easy and Efficient Batch Computing on AWS
Compute
CMP325
How Netflix Tunes Amazon EC2 Instances for Performance
Compute
CMP330
NEW LAUNCH! Amazon EC2 Bare Metal Instances
Compute
CMP332
C5 Instances and the Evolution of Amazon EC2 Virtualization
Compute
CMP333
How to Get the HPC Best-in-class Performance via Intel Xeon Skylake Processors and AWS C5 Instances with Ease of Deployment Through Rescale
Containers
CON201
Containers on AWS - State of the Union
Containers
CON202
Getting Started with Docker and Amazon ECS
Containers
CON203
Driving innovation with container architecture
Containers
CON205
Birds of a Feather: Containers and Open Source at AWS
Containers
CON206
Docker on AWS
Containers
CON207
Digital Transformation: Adapt or Perish
Containers
CON208
Building Microservices on AWS
Containers
CON214
NEW LAUNCH! Introducing AWS Fargate
Containers
CON215
NEW LAUNCH! Introducing Amazon EKS
Containers
CON302
Building a CI/CD Pipeline for Containers on Amazon ECS
Containers
CON304
Batch Processing with Containers on AWS
Containers
CON307
Building Effective Container Images
Containers
CON308
Mastering Kubernetes on AWS
Containers
CON309
Containerized Machine Learning on AWS
Containers
CON310
Moving to Containers: Building with Docker and Amazon ECS
Containers
CON320
Monitoring. Logging. and Debugging for Containerized Services
Containers
CON333
Deep Dive into AWS Fargate
Containers
CON356
Moving to Amazon ECS – the Not-So-Obvious Benefits
Containers
CON401
Container Networking Deep Dive with Amazon ECS
Containers
CON402
Advanced Patterns in Microservices Implementation with Amazon ECS
Containers
CON403
Introducing Service Discovery for Amazon ECS
Containers
CON404
Deep Dive into Container Scheduling with Amazon ECS
Containers
CON406
Architecting Container Infrastructure for Security and Compliance
Containers
CON409
Deep Dive into Amazon EKS
Content Delivery
CTD201
Introduction to Amazon CloudFront and AWS Lambda@Edge
Content Delivery
CTD202
Learn How AWS is Enabling the World's Most Advanced Media Workflows
Content Delivery
CTD203
NEW LAUNCH! Hear how OwnZones is using AWS Elemental MediaConvert to help media customers deliver world class VOD experiences
Content Delivery
CTD204
NEW LAUNCH! Hear how the Pac-12 is using AWS Elemental MediaStore and explore video workflows with MediaLive and MediaPackage
Content Delivery
CTD206
NEW LAUNCH! Learn how Fubo is monetizing their content with server side ad insertion using AWS Elemental MediaTailor
Content Delivery
CTD208
In Space. Everyone Can See NASA Stream (in 4K)
Content Delivery
CTD301
Amazon CloudFront Flash Talks: Best Practices on Configuring. Securing. Customizing. and Monitoring Your Distribution.
Content Delivery
CTD302
Case Study: How Hulu reinvented television using the AWS Cloud
Content Delivery
CTD303
Case Study: POOQ. Korea's largest OTT provider broadcasts more than sixty five. 24/7 LIVE channels. all using AWS Services
Content Delivery
CTD304
Dow Jones & Wall Street Journal's journey to manage traffic spikes while mitigating DDoS & application layer threats
Content Delivery
CTD305
Case Study: The internals of Amazon.com's architecture that allows it to securely scale for millions of transactions per second with low latency. and high availability.
Content Delivery
CTD307
Case Study: How Mobile Device Service Company Asurion Architected Its Application on AWS Edge Locations for Speed and Security
Content Delivery
CTD309
Building Serverless Websites with Lambda@Edge
Content Delivery
CTD310
Living on the Edge. It’s Safer Than You Think! Building Strong with Amazon CloudFront. AWS Shield and AWS WAF.
Content Delivery
CTD401
Taking DevOps Closer to the AWS Edge
Content Delivery
CTD402
Podcasting on AWS – A Discussion on Everything from Production to Distribution
Content Delivery
CTD405
Building Serverless Video Workflows
Content Delivery
CTD406
Measuring the Internet in Real Time
Content Delivery
CTD408
I Want to Analyze and Visualize Website Access Logs. but Why Do I Need Servers to Do That?
Databases
DAT201
AWS Database and Analytics State of the Union - 2017
Databases
DAT202
Getting Started with Amazon Aurora
Databases
DAT203
Running MySQL Databases on AWS
Databases
DAT204
What's New for AWS Purpose Built. Non-relational Databases
Databases
DAT301
Deep Dive on the Amazon Aurora MySQL-compatible Edition
Databases
DAT302
Deep Dive on Amazon Relational Database Service (RDS)
Databases
DAT304
DynamoDB - What's new
Databases
DAT305
ElastiCache Deep Dive: Best Practices and Usage Patterns
Databases
DAT307
Modern Cloud Data Warehousing: Blending Structured and Semi-Structured Data in Real Time
Databases
DAT308
A story of Netflix and AB Testing in the User Interface using DynamoDB
Databases
DAT309
Best Practices for Migrating from Oracle and SQL Server to Amazon RDS
Databases
DAT310
Which Database to Use When?
Databases
DAT311
Technology Trends in Data Processing
Databases
DAT312
Migrating Your SQL Server Databases to Amazon RDS
Databases
DAT313
Running Oracle Databases on Amazon RDS
Databases
DAT314
Best Practices for Running PostgreSQL on AWS
Databases
DAT315
A Practitioner’s Guide on Migrating to. and Running on Amazon Aurora.
Databases
DAT316
Report from the Field on the PostgreSQL-compatible Edition of Amazon Aurora
Databases
DAT317
Migrating Databases and Data Warehouses to the Cloud: Getting Started with AWS DMS and AWS SCT
Databases
DAT318
NEW LAUNCH! Deep dive on Amazon Neptune
Databases
DAT319
NEW LAUNCH! Amazon Neptune Overview and Customer Use Cases
Databases
DAT320
Moving a Galaxy into the Cloud: Best Practices from Samsung on Migrating to Amazon DynamoDB
Databases
DAT321
From Minutes to Milliseconds: How Careem Used Amazon ElastiCache for Redis to Accelerate Their Ride Share Application
Databases
DAT322
The Nanoservices Architecture That Powers BBC Online
Databases
DAT323
Dating and Data Science: How Coffee Meets Bagel Uses Amazon ElastiCache to Deliver High-Quality Match Recommendations
Databases
DAT324
Expedia flies with DynamoDB: lightning fast stream processing for travel analytics
Databases
DAT325
Snapchat Stories on Amazon DynamoDB
Databases
DAT326
How DynamoDB Powered Amazon Prime Day 2017
Databases
DAT327
DynamoDB adaptive capacity: smooth performance for chaotic workloads
Databases
DAT328
Tinder and DynamoDB: It's a Match! Massive Data Migration.  Powered by Serverless Advanced Analytics
Databases
DAT402
Deep Dive on the Amazon Aurora PostgreSQL-compatible Edition
Databases
DAT403
Advanced Design Patterns for Amazon DynamoDB
Devops
DEV203
Launch Applications the Amazon Way
Devops
DEV204
Monitoring Modern Applications: Introduction to AWS X-Ray
Devops
DEV205
Developing Applications on AWS in the JVM
Devops
DEV206
Life of a Code Change to a Tier 1 Service
Devops
DEV207
Deploying and Managing Ruby Applications on AWS
Devops
DEV209
A Field Guide to Monitoring on the AWS Cloud: From Lift and Shift to AWS Lambda
Devops
DEV301
Dev Tested. Ops Approved: 10 Guardrails from Atlassian for Better. Faster DevOps
Devops
DEV303
How HubSpot Got Beyond Four 9s of Availability on AWS Using SignalFx Detectors
Devops
DEV305
Manage Your Applications with AWS Elastic Beanstalk
Devops
DEV306
Embrace DevOps and Learn How to Automate Operations
Devops
DEV307
AWS CLI: 2017 and Beyond
Devops
DEV311
Using AWS CloudTrail to Enhance Governance and Compliance of Amazon S3
Devops
DEV314
Monitoring as Code: Getting to Monitoring-Driven Development
Devops
DEV315
GitHub to AWS Lambda: Developing. Testing. and Deploying Serverless Apps
Devops
DEV317
Deep Dive on AWS CloudFormation
Devops
DEV318
Learn How Intuit Built a Frictionless Infrastructure Management System Using AWS CloudFormation
Devops
DEV319
Embracing Change without Breaking the World
Devops
DEV320
NEW LAUNCH! Introducing AWS Cloud9. a cloud IDE to write. run. & debug your code
Devops
DEV322
Continuous Integration Best Practices for Software Development Teams
Devops
DEV323
Introduction to the AWS CLI
Devops
DEV324
Deep Dive on Advanced Continuous Delivery Techniques Using AWS DevOps Tools
Devops
DEV325
Application Deployment Techniques for Amazon EC2 Workloads with AWS CodeDeploy
Devops
DEV328
DevOps Lessons from Coursera: Site Performance. Reliability. and Developer Productivity
Devops
DEV329
Cisco’s Journey from Monolith to Microservices
Devops
DEV330
Developing Applications on AWS with .NET Core
Devops
DEV331
Automate and Scale Configuration Management with AWS OpsWorks
Devops
DEV332
Using AWS to Achieve Both Autonomy and Governance at 3M
Devops
DEV333
Using Amazon CloudWatch for Amazon ECS Resource Monitoring at Scale
Devops
DEV334
Performing Chaos at Netflix Scale
Devops
DEV335
Manage Infrastructure Securely at Scale and Eliminate Operational Risks
Devops
DEV338
Use Amazon EC2 Systems Manager to Perform Automated Resilience Testing in Your CI/CD Pipeline
Devops
DEV339
Using AWS Management Tools to Enable Governance. Compliance. Operational. and Risk Auditing
Devops
DEV340
How Amazon.com Uses AWS Management Tools
Devops
DEV345
Tools Won’t Fix Your Broken DevOps
Devops
DEV346
NEW LAUNCH! Gain Operational Insights and Take Action on AWS Resources with AWS Systems Manager
Devops
DEV402
Deep-Dive for AWS X-Ray
Devops
DEV403
Security Validation through Continuous Delivery at Verizon
Deep Learning Summit
DLS01
Deep Learning Summit
Developer Community
DVC201
Build AWS Skills Through Community-Led User Groups
Developer Community
DVC202
The Open Guide to AWS: A GitHub-Based Resource for Practitioners
Developer Community
DVC301
Evolution of Serverless Architectures through the Lens of Community
Developer Community
DVC302
And You Thought You Knew Amazon EC2
Developer Community
DVC303
Technological Accelerants for Organizational Transformation
Developer Community
DVC304
Compliance and Top Security Threats in the Cloud -- Are You Protected?
Enterprise
ENT203
Building a Solid Business Case for Cloud Migration
Enterprise
ENT205
Transform Your Business with VMware Cloud on AWS. an Integrated Hybrid Approach
Enterprise
ENT206
Accelerate Value from Big Data. AI. and IoT Initiatives with One-Tenth of the Effort — Real-World Examples with C3 IoT and AWS (Session 2)
Enterprise
ENT208
From Cloud Cost Management to Financial Agility: The Journey to Success
Enterprise
ENT209
Going Big with Containers: Customer Case Studies of Large-Scale Deployments
Enterprise
ENT210
How to Get from Zero to Hundreds of AWS-Certified Engineers
Enterprise
ENT211
How to Assess Your Organization's Readiness to Migrate at Scale to AWS
Enterprise
ENT212
An Overview of Best Practices for Large-Scale Migrations
Enterprise
ENT213
How Encirca Services by DuPont Pioneer Exited Their Data Center in Less Than Six Months
Enterprise
ENT218
How Hess Has Continued to Optimize the AWS Cloud After Migrating
Enterprise
ENT219
Accelerate Value from Big Data. AI. and IoT Initiatives with One-Tenth of the Effort — Real-World Examples with C3 IoT and AWS (Session 1)
Enterprise
ENT224
Redis Enterprise for Large-Scale Deployment
Enterprise
ENT225
How to Successfully Exploit the Power of the Matrix
Enterprise
ENT226
Serving Five Billion Meals a Year. Compass Group Relies on AWS to Run SAP
Enterprise
ENT227
Envision Energy’s Cloud Transformation
Enterprise
ENT228
NEW LAUNCH! Introducing Amazon MQ Managed Message Broker Service for ActiveMQ
Enterprise
ENT301
Real-World AI and Deep Learning for the Enterprise
Enterprise
ENT302
Optimizing Costs as You Scale on AWS
Enterprise
ENT303
VMware Cloud on AWS Technical Deep Dive
Enterprise
ENT304
VMware Cloud on AWS: A World of Unique Integrations Between VMware and AWS
Enterprise
ENT315
Landing Zones: Creating a Foundation for Your AWS Migrations
Enterprise
ENT316
Keeping Pace With The Cloud: Managing and Optimizing as You Scale
Enterprise
ENT317
Fitch Ratings: Migrating to the Cloud to Transform Business Services Delivery
Enterprise
ENT318
Leveraging a Cloud Policy Framework - From Zero to Well Governed
Enterprise
ENT319
Achieving Your Cloud Efficiency Goals with Metric-Driven Cost Optimization
Enterprise
ENT320
How a Global Healthcare Company Built a Migration Factory to Quickly Move Thousands of Applications to AWS
Enterprise
ENT321
Accelerating Your Portfolio Migration to AWS Using AWS Migration Hub
Enterprise
ENT322
Disaster Recovery with AWS: Tiered Approaches to Balance Cost with Recovery Objectives
Enterprise
ENT323
Enabling Governance. Compliance. and Operational and Risk Auditing with AWS Management Tools
Enterprise
ENT324
Automating and Auditing Cloud Governance and Compliance in Multi-Account Environments
Enterprise
ENT325
Migrating Your Microsoft Applications to AWS
Enterprise
ENT326
Oracle Enterprise Solutions on AWS
Enterprise
ENT327
Migrating Massive Databases and Data Warehouses to the Cloud
Enterprise
ENT328
FINRA's Managed Data Lake: Next-Gen Analytics in the Cloud
Enterprise
ENT329
End-User Computing on AWS with Amazon WorkSpaces and Amazon AppStream 2.0
Enterprise
ENT330
Cox Automotive’s Data Center Migration to the AWS Cloud
Enterprise
ENT331
From Mainframe to Microservices: Vanguard’s Move to the Cloud
Enterprise
ENT332
Getting Started with Serverless Computing Using AWS Lambda
Enterprise
ENT337
How Amazon Scales Its Infrastructure to Handle Billions of Transactions on Prime Day
Enterprise
ENT339
Mapmaking and Location-Based Systems in the Cloud
Enterprise
ENT340
Operation Monitoring and Alerting at Scale in GE Transportation
Enterprise
ENT401
Successfully Migrating Business-Critical Applications to AWS
Energy & Utilities
EUT301
Oil & Gas Reservoir Simulation leveraging AWS HPC technologies and 3D visualization
Energy & Utilities
EUT302
Data Ingestion at Seismic Scale: Best practices for processing petabyte scale HPC workloads in the Cloud
Energy & Utilities
EUT303
Modernizing the Energy and Utilities Industry with IoT: Moving SCADA to the Cloud
Energy & Utilities
EUT305
Delivering the Future of Energy with Connected Home Products using AWS IoT
Financial Services
FSV301
Security Anti-Patterns: Mistakes to Avoid
Financial Services
FSV302
An Architecture for Trade Capture and Regulatory Reporting
Financial Services
FSV303
Building Queryable Archives and Data Lakes for Financial Services
Financial Services
FSV304
Farewell to a Trade-off: Enabling High-scale. Bank-wide Cloud Adoption by Delivering Control and Self-service through Automation and Continuous Compliance
Financial Services
FSV305
Optimizing Payments Collections with Containers and Machine Learning
Financial Services
FSV306
Getting to Yes – Minimal Viable Cloud with Maximum Security
Financial Services
FSV307
Capital Markets Discovery: How FINRA Runs Trade Analytics and Surveillance on AWS
Financial Services
FSV308
Culture Shift: How to Move a Global Financial Services Organization to a DevOps Operating Model
Gaming
GAM301
Migrating the League of Legends Platform into the AWS Cloud
Gaming
GAM303
Migrating Battleborn and the Spark Platform to Amazon GameLift for Multiplayer Game Servers
Gaming
GAM305
Automating Mother Nature: How Nexon Used AWS Services to Algorithmically Create and Manage an In-Game Ecosystem
Gaming
GAM306
Building a Lake of Wisdom
Gaming
GAM307
Ubisoft: How For Honor Runs Using Amazon ECS
Gaming
GAM311
How Linden Lab Built a Virtual World on the AWS Cloud
Gaming
GAM401
Designing for the Future: Building a Flexible Event-based Analytics Architecture for Games
General
GEN18
When customers connect. they learn. grow. adapt. and accelerate at the pace of innovation sharing best practices
GPS-Business
GPSBUS201
GPS: Artificial Intelligence. Machine Learning. Deep Learning: Cutting through the Hype
GPS-Business
GPSBUS202
GPS: Driving Customer Value with Big Data Analytics
GPS-Business
GPSBUS203
GPS: AWS Partner Network 2018 and Beyond: Building Successful and Profitable AWS Practices and Solutions
GPS-Business
GPSBUS204
GPS: Building a Profitable Next-Generation AWS MSP Practice
GPS-Business
GPSBUS205
GPS: Amazon Connect: Powerful. Proven Cloud Contact Center Solution for Your Enterprise
GPS-Business
GPSBUS206
GPS: Best Practices for Building a Partner Database Practice on AWS
GPS-Business
GPSBUS207
GPS: Windows Upgrades: Hamster Wheel or Work Space Transformation Opportunity for APN Partners
GPS-Business
GPSBUS208
GPS: Customer Insights: Are DevOps Transformation and Workload Migrations Always Better Together?
GPS-Business
GPSBUS209
GPS: Cloud-Based Regtech Solutions on AWS
GPS-Business
GPSBUS210
GPS: BI and Interoperability for Better Patient Outcomes
GPS-Business
GPSBUS211
GPS: Edge Intelligence for IoT Applications
GPS-Business
GPSBUS212
GPS: Are Migration Tools a Puzzle or Perfect Lego Blocks?
GPS-Business
GPSBUS213
GPS: Success in the Public Sector Market
GPS-Business
GPSBUS214
GPS: Key Considerations for Cloud Procurement in the Public Sector
GPS-Business
GPSBUS215
GPS: Maximize Innovation and Agility by Building Your SaaS Solution on AWS
GPS-Business
GPSBUS216
GPS: Applying AI/ML to Find Security Needles in the Haystack
GPS-Business
GPSBUS217
GPS: Evolve your Storage Business Models in AWS
GPS-Business
GPSBUS218
GPS: AWS Partner Training: The Key to Accelerating Your Business and Increasing Customer Adoption
GPS-Business
GPSBUS219
GPS: Get AWS Certified: Using AWS Certification as a Tool for Your Success
GPS-Business
GPSBUS220
GPS: Refactor and Replatform .NET Apps to Use the Latest Microsoft SQL Server Release on AWS and Beyond
GPS-Business
GPSBUS221
GPS: Breaking Barriers: Move Enterprise SAP Customers to SAP HANA on AWS in Record Speed
GPS-Business
GPSBUS222
GPS: SAP on AWS: Big Businesses. Big Workloads. Big Time
GPS-Business
GPSBUS223
GPS: Starting Out with the AWS Partner Network
GPS-Marketplace
GPSMKT201
GPS: Expanding Channel Opportunities: Using AWS Marketplace as a Fulfillment and Procurement Hub
GPS-Marketplace
GPSMKT301
GPS: The Path to a Successful Cloud Migration: How AWS Marketplace Helps Our Customers Accelerate Their Journey to the Cloud
GPS-Technical
GPSTEC201
GPS: Building an Artificial Intelligence Practice for Consulting Partners
GPS-Technical
GPSTEC302
GPS: Anti-Patterns: Learning from Failure
GPS-Technical
GPSTEC303
GPS: Blockchain and the Road to Innovation
GPS-Technical
GPSTEC304
GPS: Shipping with Porpoise. a Kubernetes Story
GPS-Technical
GPSTEC305
GPS: Machine Learning in Capital Markets
GPS-Technical
GPSTEC306
GPS: Continuous Compliance for Healthcare and Life Sciences
GPS-Technical
GPSTEC307
GPS: Too Many Tools? Amazon EC2 Systems Manager Bridges Operational Models
GPS-Technical
GPSTEC308
GPS: SaaS Metrics: The Ultimate View of Tenant Consumption
GPS-Technical
GPSTEC309
GPS: SaaS Monitoring - Creating a Unified View of Multitenant Health Featuring New Relic
GPS-Technical
GPSTEC310
GPS: IAM Best Practices and Becoming an IAM Ninja
GPS-Technical
GPSTEC311
GPS: Enhancing Customer Security Using AI/ML on AWS
GPS-Technical
GPSTEC312
GPS: SAP HANA HA on AWS: Preventing Production Facepalms
GPS-Technical
GPSTEC313
GPS: Real-Time Data Processing with AWS Lambda Quickly. at Scale. and What Comes Next?
GPS-Technical
GPSTEC314
GPS: From Monolithic to Serverless – Why and How to Move
GPS-Technical
GPSTEC315
GPS: Optimizing Tips: Amazon Redshift for Cloud Data Warehousing
GPS-Technical
GPSTEC316
GPS: Image management Best Practices for Amazon WorkSpaces
GPS-Technical
GPSTEC317
GPS: From Leaves to Lawns: AWS Greengrass at the Edge and Beyond
GPS-Technical
GPSTEC318
GPS: IoT Security from Manufacturing to Maintenance
GPS-Technical
GPSTEC319
GPS: Build Once. Deploy Many: Architecting and Building Automated. Reusable Reference Deployments with AWS CloudFormation
GPS-Technical
GPSTEC320
GPS: Paving the Yellow Brick Road to the Cloud
GPS-Technical
GPSTEC321
GPS: VMware on AWS Cloud Technical Deep Dive & Native AWS Services Integration
GPS-Technical
GPSTEC322
GPS: Creating Your Virtual Data Center: VPC Fundamentals. Connectivity Options. and Partners
GPS-Technical
GPSTEC323
GPS: SaaS and OpenID Connect: The Secret Sauce of Multitenant Identity and Isolation
GPS-Technical
GPSTEC324
GPS: Storage for HPC in the Cloud
GPS-Technical
GPSTEC325
GPS: Enterprise Storage
GPS-Technical
GPSTEC326
GPS: Industry 4.0: AI and the Future of Manufacturing
Healthcare
HLC301
Simplifying Healthcare Data Management on AWS
Healthcare
HLC302
Adopting Microservices in Healthcare: Building a Compliant DevOps Pipeline on Amazon ECS
Healthcare
HLC305
How Verge Health Leverages Automation to Provide a Mission-Critical. 24x7x365 Health Solution on AWS
Healthcare
HLC307
Building a Secure and Healthcare-Compliant Platform for Adopting a Cloud-First Strategy Using AWS
Healthcare
HLC308
Healthcare Payers and Serverless Batch Processing Engines
Healthcare
HLC309
The American Heart Association and How to Build a Secure and Collaborative Precision Medicine Platform on AWS
Healthcare
HLC310
How Methodist Le Bonheur Healthcare's Focus on Standardizing Compliant Ops Led to Breakthrough Apps
IoT
IOT201
The IoT Offering Explained in Plain English
IoT
IOT202
Transforming Industry Verticals with AWS IoT
IoT
IOT206
Philips HSDP - A Cloud-Based IoT Platform Purposefully Built for Healthcare
IoT
IOT207
Panasonic - Building the Road of the Future on AWS
IoT
IOT209
NEW LAUNCH! Push Intelligence to the edge with Greengrass
IoT
IOT210
IoT State of the Union
IoT
IOT211
NEW LAUNCH! AWS IoT Analytics from Consumer IoT to Industrial IoT
IoT
IOT212
NEW LAUNCH! Amazon FreeRTOS: IoT Operating System for Microcontrollers
IoT
IOT213
NEW LAUNCH! Introducing AWS IoT 1-Click
IoT
IOT214
NEW LAUNCH! Introducing AWS IoT Analytics
IoT
IOT308
One Message to a Million Things - Done in 60 seconds with AWS IoT
IoT
IOT309
Compute at the Edge with AWS Greengrass
IoT
IOT311
Customer Stories of Things. Cloud. and Analytics on AWS
IoT
IOT312
IoT @ Enel: a New Generation IoT Core Platform
IoT
IOT313
AWS IoT and Machine Learning for Building Predictive Applications with Smart Connected Products by SKF
IoT
IOT315
AWS IoT Rules Engine
IoT
IOT330
NEW LAUNCH! AWS IoT Device Management
IoT
IOT336
Accelerating Engie’s IoT Application Roadmap with C3 IoT and AWS IoT
IoT
IOT337
Secure Your Edge-to-Cloud IoT Solution with Intel and AWS
IoT
IOT401
Translating the Promise of IoT into Business Value and Customer Success
IoT
IOT402
Engineering the IoT at AWS
IoT
IOT403
NEW LAUNCH! AWS Greengrass and Amazon FreeRTOS: Connectivity and Security at the Edge
Life Sciences
LFS301
SAGE Bionetworks. the Digital Mammography DREAM Challenge and How AWS Enables Consortium Science to Accelerate Discovery
Life Sciences
LFS302
Real World Evidence Platforms to Enable Therapeutic Innovation
Life Sciences
LFS303
How to Migrate SAP Applications to AWS While Maintaining Compliance with AWS
Life Sciences
LFS304
Born in the AWS Cloud: How Eagle Genomics Uses AWS to Process Billions of DNA Sequence Reads
Life Sciences
LFS305
Automated Policy Enforcement for Real-time Operations. Security. and Compliance for Life Sciences
Life Sciences
LFS306
How Eli Lilly Leverages AWS as a Clinical Innovation Platform to Change the Patient Experience in Healthcare
Life Sciences
LFS307
Using AWS to Maximize Digital Marketing Reach and Efficiency
Media & Entertainment
MAE201
Media & Entertainment State of the Union
Media & Entertainment
MAE301
Boom for Your Buck: Rendering with Spot and Deadline on AWS
Media & Entertainment
MAE302
Personalizing PBS National Channels by Shifting to Local Ads and Time Zones Automatically
Media & Entertainment
MAE303
OTT State of Play: Innovation at Netflix. Hulu. Amazon Video. and AWS Elemental
Media & Entertainment
MAE304
Turner's Cloud Archive for CNN's Video Library and Global Multiplatform Versioning
Media & Entertainment
MAE401
Designing for Disney/Marvel Studio-Grade Security
Media & Entertainment
MAE402
Media Intelligence for the Cloud with Amazon AI
Mobile
MBL201
Progressive Web Apps in the Real World: Optimizing Your Web Workflows with AWS Mobile Hub
Mobile
MBL202
DevOps for a Mobile World: Building an iOS or Android Mobile App in the Cloud
Mobile
MBL203
Driving effective Digital User Engagement using Analytics. Push Notifications. SMS Text Messages. and Email
Mobile
MBL204
Architecting Cost-Effective Mobile Backends for Scale. Security. and Privacy
Mobile
MBL209
Learn How MicroStrategy on AWS is Helping Vivint Solar Deliver Clean Energy
Mobile
MBL301
Testing and Troubleshooting with AWS Device Farm
Mobile
MBL303
Learn How Amazon Leverages Amazon Pinpoint to Drive Growth and Engagement with its Popular Music Streaming Service. Amazon Music
Mobile
MBL304
Easy Demographics and Campaign Management in a Mobile World Using Amazon Pinpoint
Mobile
MBL305
Implement User Onboarding. Sign-Up. and Sign-In for Mobile and Web Applications with Amazon Cognito
Mobile
MBL306
Mobile Application Development: State of the Union
Mobile
MBL307
Tracking and Optimizing Ad Monetization for Your Mobile App
Mobile
MBL308
Integrating Video in Mobile Apps and Websites
Mobile
MBL310
Building Hybrid and Web apps using JavaScript with AWS Mobile
Mobile
MBL402
NEW LAUNCH! Data Driven Apps with GraphQL: AWS AppSync Deep Dive
Mobile
MBL403
Analytics. Authentication and Data with JavaScript: AWS Amplify
Mobile
MBL404
NEW LAUNCH! Realtime and Offline application development using GraphQL with AWS AppSync
Machine Learning
MCL202
Ally Bank & Cognizant: Transforming Customer Experience Using Amazon Alexa
Machine Learning
MCL204
The Unusual Suspect: How Washington County Sheriff’s Office is using Amazon AI to Identify Persons of Interest For Law Enforcement
Machine Learning
MCL205
Introduction to Deep Learning
Machine Learning
MCL206
Creating Next Generation Speech-Enabled Applications with Amazon Polly
Machine Learning
MCL207
Amazon Lex Integration with IVR
Machine Learning
MCL209
NEW LAUNCH! Introducing Amazon Translate – Now in Preview
Machine Learning
MCL210
Machine Learning State of the Union
Machine Learning
MCL211
NEW LAUNCH! Introducing Amazon Sumerian – Build VR/AR and 3D Applications
Machine Learning
MCL215
NEW LAUNCH! Introducing Amazon Transcribe – Now in Preview
Machine Learning
MCL251
An Eye in the Sky: How Radiant Solutions Processes Satellite Imagery with AI and Amazon Mechanical Turk
Machine Learning
MCL301
Building a Voice-Enabled Customer Service Chatbot Using Amazon Lex and Amazon Polly
Machine Learning
MCL302
Maximizing the Customer Experience with AI on AWS
Machine Learning
MCL303
Deep Learning with Apache MXNet and Gluon
Machine Learning
MCL305
Scaling Convolutional Neural Networks with Kubernetes and TensorFlow on AWS
Machine Learning
MCL306
Making IoT Devices Smarter with Amazon Rekognition
Machine Learning
MCL307
Amazon Polly Tips and Tricks: How to Bring Your Text-to-Speech Voices to Life
Machine Learning
MCL308
Using a Digital Assistant in the Enterprise for Business Productivity
Machine Learning
MCL312
Building Multichannel Conversational Interfaces Using Amazon Lex
Machine Learning
MCL313
Deep Learning Using Caffe2 on AWS
Machine Learning
MCL314
Unlocking Media Workflows Using Amazon Rekognition
Machine Learning
MCL315
Deep Learning for Autonomous Driving
Machine Learning
MCL316
Deep Learning for Industrial IoT
Machine Learning
MCL317
Orchestrating Machine Learning Training for Netflix Recommendations
Machine Learning
MCL318
Deep Dive on Amazon Rekognition Architectures for Image Analysis
Machine Learning
MCL335
The future of location services is here. Revolutionizing the user experience with machine learning and AI.
Machine Learning
MCL336
NEW LAUNCH! Feature updates for Amazon Rekognition
Machine Learning
MCL337
Tensors for Large-scale Topic Modeling and Deep Learning
Machine Learning
MCL339
NEW LAUNCH! Amazon Rekognition Video eliminates manual cataloging of video which is expensive. error-prone. and hard to scale.
Machine Learning
MCL340
NEW LAUNCH! Amazon Sumerian – A Deep Dive Behind the Scenes
Machine Learning
MCL341
NEW LAUNCH! Infinitely Scalable Machine Learning Algorithms with Amazon AI
Machine Learning
MCL342
NEW LAUNCH! Graph-based Approaches for Cyber Investigative Analytics Using GPU Accelerated Community Detection and Visualization with Amazon Neptune and Graphistry
Machine Learning
MCL343
NEW LAUNCH! Natural Language Processing for Data Analytics
Machine Learning
MCL349
Training Chatbots and Conversational Artificial Intelligence Agents with Amazon Mechanical Turk and Facebook’s ParlAI
Machine Learning
MCL350
Humans vs. the Machines: How Pinterest Uses Amazon Mechanical Turk’s Worker Community to Improve Machine Learning
Machine Learning
MCL357
Business and Life-Altering Solutions Through AI and Image Recognition
Machine Learning
MCL358
BigDL: Image Recognition Using Apache Spark with BigDL
Machine Learning
MCL365
NEW LAUNCH! Introducing Amazon SageMaker
Machine Learning
MCL402
Building Content Recommendation Systems Using Apache MXNet and Gluon
AWS Marketplace & Service Catalog
MSC201
Building end-to-end IT Lifecycle Mgmt & Workflows with AWS Service Catalog
AWS Marketplace & Service Catalog
MSC202
Learn How Salesforce used ADCs for App Load Balancing for an International Rollout
AWS Marketplace & Service Catalog
MSC203
How Citrix Uses AWS Marketplace Solutions to Accelerate Analytic Workloads on AWS
AWS Marketplace & Service Catalog
MSC301
Cloud Security for Regulated Industries
AWS Marketplace & Service Catalog
MSC302
How Do I Build a Global Transit Network on AWS?
AWS Marketplace & Service Catalog
MSC303
Understand the performance of customer facing applications with AWS Marketplace
AWS Marketplace & Service Catalog
MSC304
Enabling Big Data Computing at Pfizer with AWS Service Catalog and AWS Lambda
AWS Marketplace & Service Catalog
MSC305
Maximize the Return on Your Storage Investment with AWS Marketplace
Networking
NET201
Creating Your Virtual Data Center: VPC Fundamentals and Connectivity Options
Networking
NET202
IPv6 in the Cloud: Protocol and AWS Service Overview
Networking
NET204
NEW LAUNCH! AWS PrivateLink: Bringing SaaS Solutions into Your VPCs and Your On-Premises Networks
Networking
NET205
Networking State of the Union
Networking
NET301
Extending Data Centers to the Cloud: Connectivity Options and Considerations for Hybrid Environments
Networking
NET302
DNS Demystified: Global Traffic Management with Amazon Route 53
Networking
NET303
A Day in the Life of a Cloud Network Engineer at Netflix
Networking
NET304
Deep Dive into the New Network Load Balancer
Networking
NET305
Advanced VPC Design and New Capabilities for Amazon VPC
Networking
NET310
NEW LAUNCH! AWS PrivateLink Deep Dive
Networking
NET401
Network Performance: Making Every Packet Count
Networking
NET402
Elastic Load Balancing Deep Dive and Best Practices
Networking
NET403
Deep Dive: AWS Direct Connect and VPNs
Networking
NET404
Networking Many VPCs: Transit and Shared Architectures
Networking
NET405
Another Day. Another Billion Flows
Retail & CPG
RET301
Build a Single Customer View across Multiple Retail Channels using AWS S3 Data Lakes
Retail & CPG
RET302
Delight your Retail Customers with an Interactive Customer Service Experience using ChatBot powered by Amazon AI
Retail & CPG
RET303
Drive Warehouse Efficiencies with the Same AWS IoT technology That Powers Amazon Fulfillment
Retail & CPG
RET304
Rapidly Respond to Demanding Retail Customers with the Same Serverless Architecture That Powers Amazon Fresh
Security. Compliance. & Identity
SID201
IAM for Enterprises: How Vanguard Strikes the Balance Between Agility. Governance. and Security
Security. Compliance. & Identity
SID202
Deep Dive on How Capital One Automates the Delivery of Directory Services across AWS Accounts
Security. Compliance. & Identity
SID205
Building the Largest Repo for Serverless Compliance-as-Code
Security. Compliance. & Identity
SID206
Best Practices for Managing Security Operations on AWS
Security. Compliance. & Identity
SID207
Security Change through Feedback
Security. Compliance. & Identity
SID210
A CISO’s Journey at Vonage: Achieving Unified Security at Scale
Security. Compliance. & Identity
SID212
Maximizing Your Move to AWS: Five Key Lessons Learned from Vanguard and Cloud Technology Partners
Security. Compliance. & Identity
SID213
Managing Regulator Expectations - Lessons Learned on Positioning AWS Services from an Audit Perspective
Security. Compliance. & Identity
SID214
Best Security Practices in the Intelligence Community
Security. Compliance. & Identity
SID216
Cloud-Native App Protection: Web Application Security at Pearson and other customers using services like AWS WAF and Shield
Security. Compliance. & Identity
SID217
NEW LAUNCH ! Introduction to Managed Rules for AWS WAF
Security. Compliance. & Identity
SID218
NEW LAUNCH! Introduction to Amazon GuardDuty
Security. Compliance. & Identity
SID301
Using AWS Lambda as a Security Team
Security. Compliance. & Identity
SID302
Force Multiply Your Security Team with Automation and Alexa
Security. Compliance. & Identity
SID303
How You can use AWS’ Identity Services to be Successful on Your AWS Cloud Journey
Security. Compliance. & Identity
SID304
SecOps 2021 Today: Using AWS Services to Deliver SecOps
Security. Compliance. & Identity
SID305
How CrowdStrike Built a Real-time Security Monitoring Service on AWS
Security. Compliance. & Identity
SID306
How Chick-fil-A Embraces DevSecOps on AWS
Security. Compliance. & Identity
SID310
Moving from the Shadows to the Throne
Security. Compliance. & Identity
SID313
Continuous Compliance on AWS at Scale
Security. Compliance. & Identity
SID314
IAM Policy Ninja
Security. Compliance. & Identity
SID315
Security and DevOps: Agility and Teamwork
Security. Compliance. & Identity
SID316
Using Access Advisor to Strike the Balance Between Security and Usability
Security. Compliance. & Identity
SID317
Automating Security and Compliance Testing of Infrastructure-as-Code for DevSecOps
Security. Compliance. & Identity
SID318
From Obstacle to Advantage: The Changing Role of Security & Compliance in Your Organization
Security. Compliance. & Identity
SID319
Incident Response in the Cloud
Security. Compliance. & Identity
SID320
Fraud Prevention. Detection. Lessons Learned. and Best Practices
Security. Compliance. & Identity
SID321
How Capital One Applies AWS Organizations Best Practices to Manage Multiple AWS Accounts
Security. Compliance. & Identity
SID322
The AWS Philosophy of Security
Security. Compliance. & Identity
SID324
Automating DDoS Response in the Cloud
Security. Compliance. & Identity
SID325
Amazon Macie: Data Visibility Powered by Machine Learning for Security and Compliance Workloads
Security. Compliance. & Identity
SID326
AWS Security State of the Union
Security. Compliance. & Identity
SID327
How Zocdoc Achieved Security and Compliance at Scale With Infrastructure as Code
Security. Compliance. & Identity
SID328
Cloud Adoption in Regulated Financial Services
Security. Compliance. & Identity
SID329
A Deep Dive into AWS Encryption Services
Security. Compliance. & Identity
SID330
Best Practices for Implementing Your Encryption Strategy Using AWS Key Management Service
Security. Compliance. & Identity
SID331
Architecting Security and Governance Across a Multi-Account Strategy
Security. Compliance. & Identity
SID332
Identity Management for Your Users and Apps: A Deep Dive on Amazon Cognito
Security. Compliance. & Identity
SID333
Security at Scale: How Autodesk Leverages Native AWS Technologies to Provide Uniformly Scalable Security Capabilities
Security. Compliance. & Identity
SID344
Soup to Nuts: Identity Federation for AWS
Security. Compliance. & Identity
SID347
Embedding Security into DevOps on AWS with Automation Toolsets
Security. Compliance. & Identity
SID350
How Dow Jones Identifies. Analyzes. and Remediates Security Issues with Hammer
Security. Compliance. & Identity
SID405
Five New Security Automation Improvements You Can Make by Using Amazon CloudWatch Events and AWS Config Rules
Serverless
SRV210
Improving Microservice and Serverless Observability with Monitoring Data
Serverless
SRV211
Building Smart Applications Leveraging AWS to Drive Customer and Worker Experience
Serverless
SRV215
NEW LAUNCH! AWS Serverless Application Repository
Serverless
SRV301
Optimizing Serverless Application Data Tiers with Amazon DynamoDB
Serverless
SRV302
Building CI/CD Pipelines for Serverless Applications
Serverless
SRV303
Monitoring and Troubleshooting in a Serverless World
Serverless
SRV304
Building High-Throughput Serverless Data Processing Pipelines
Serverless
SRV305
What's New in Serverless
Serverless
SRV306
State Machines in the Wild! How Customers use AWS Step Functions
Serverless
SRV307
Operating Your Serverless API in Production at Scale
Serverless
SRV308
Securing Serverless Applications Step-by-step
Serverless
SRV309
Keys to Successfully Monitoring and Optimizing Innovative and Sophisticated Cloud Applications
Serverless
SRV310
Designing Microservices with Serverless
Serverless
SRV311
Authoring and Deploying Serverless Applications with AWS SAM
Serverless
SRV312
Taking Serverless to the Edge
Serverless
SRV313
Building Resilient. Multi-Region Serverless Applications
Serverless
SRV314
Building a Serverless Pipeline to Transcode a Two-Hour Video in Minutes
Serverless
SRV315
How We Built a Mission-Critical. Serverless File Processing Pipeline for over 100 Million Photos
Serverless
SRV316
How Agero is Preventing and Detecting Vehicle Accidents in Real-Time with Serverless Computing
Serverless
SRV317
Unlocking High Performance Computing for Financial Services with Serverless Compute
Serverless
SRV318
Research at PNNL: Powered by AWS
Serverless
SRV319
How Nextdoor Built a Scalable. Serverless Data Pipeline for Billions of Events per Day
Serverless
SRV335
Best Practices for Orchestrating AWS Lambda Workloads
Serverless
SRV336
Build a Serverless.  Analytics and Machine Learning on AWS Lambda
Serverless
SRV403
Serverless Authentication and Authorization: Identity Management for Serverless Applications
Storage
STG201
Storage State of the Union
Storage
STG202
Is Your SaaS Covered? Best Practices for Preventing Data Loss in Microsoft Office 365
Storage
STG203
Get Rid of Tape and Modernize Backup with AWS
Storage
STG204
Migrating Large Scale Data Sets to the Cloud
Storage
STG205
#EarthonAWS: How NASA Is Using AWS
Storage
STG301
Deep Dive on Amazon S3 & Amazon Glacier Infrastructure. with special guest. Sprinklr
Storage
STG302
Best Practices for Amazon S3. with Special Guest. Human Longevity. Inc.
Storage
STG303
Deep Dive on Amazon Glacier
Storage
STG304
Deep Dive on Data Archiving in Amazon S3 & Amazon Glacier. with Special Guest. 20th Century Fox
Storage
STG305
Deep Dive on Backup to the AWS Cloud
Storage
STG306
Deep Dive on Amazon Elastic Block Store (Amazon EBS)
Storage
STG307
Deep Dive on Amazon Elastic File System (Amazon EFS)
Storage
STG308
Hybrid Cloud Data Management: Using Data for Business Outcomes
Storage
STG309
Deep Dive: Using Hybrid Storage with AWS Storage Gateway to Solve On-Premises Storage Problems
Storage
STG310
Files in AWS: Overcoming Storage Challenges for Common File Use Cases. with Special Guest Celgene
Storage
STG311
Deep Dive on Amazon S3 & Amazon Glacier Storage Management with Special Guest. Alert Logic
Storage
STG312
Best Practices for Building a Data Lake in Amazon S3 and Amazon Glacier. with Special Guests. Airbnb & Viber
Storage
STG313
Big Data Breakthroughs: Process and Query Data In Place with Amazon S3 Select & Amazon Glacier Select
Storage
STG314
Case Study: Learn How HERE Uses JFrog Artifactory with Amazon EFS to Support Millions of Artifacts for CI/CD Systems Used by Thousands of Active Developers
Storage
STG315
Case Study: Learn How Thomson Reuters Uses Amazon EFS to Deliver Billions of Pieces of Content to Hundreds of Millions of Visitors Every Year
Storage
STG316
Dive Deep and Learn how to Choose and Optimize Storage for Big Data Analytics Workloads with Special Guest ViaSat
Storage
STG318
Case Study: Learn how to Choose and Optimize Storage for Media and Entertainment Workloads with Special Guest Theory Studios
Storage
STG323
Migrating Millions of Video Content Files to The Cloud Using AWS Snowball
Storage
STG324
Learn to Build a Cloud-Scale WordPress Site That Can Keep Up with Unpredictable Changes and Capacity Demands
Storage
STG325
Case Study: Come Learn How SiriusXM and Digital ReLab Leveraged Amazon EFS for their Media Workflows
Storage
STG326
Learn How to Build a Scalable and Highly Available Messaging Service with IBM and TIBCO Solutions Using Amazon EFS
Storage
STG329
Case Study: ProtectWise Optimizes Performance of Cassandra and Kafka Workloads with Amazon EBS
Storage
STG330
Case Study: How Experian Leverages Amazon EC2. EBS. and S3 with Cloudera Hadoop for Big Data Analysis
Storage
STG401
This Is My Architecture - Lightning Round: Most innovative storage solutions
Telecommunications
TLC201
On Demand and Under Budget: Vodafone TV's Journey to a Cloud-Centric Architecture
Telecommunications
TLC202
Reimagining Customer Service: How Aspect Used Microservices and Serverless Technology to Transform Its Customer Engagement Platform
Telecommunications
TLC301
Always Online: Real-Time Communications on AWS
Telecommunications
TLC304
At the Cutting Edge: AWS IOT & Greengrass for Multi-Access Edge Computing
Windows
WIN201
Enterprise Innovation? Yes. with AWS Cloud. AI. and IoT
Windows
WIN202
The Gronk Effect: Efficiently Handling Huge Spikes in Traffic Using Predictive Analytics at DraftKings
Windows
WIN203
VFX Rendering with Amazon EC2 for Windows Server and Thinkbox Deadline
Windows
WIN204
Simplifying Microsoft Architectures with AWS Services
Windows
WIN301
Migrating Microsoft SQL Server Databases to AWS – Best Practices and Patterns
Windows
WIN302
Deep Dive on Active Directory – From One to Many AWS Regions
Windows
WIN303
Move Your .NET Apps to AWS Without Betting the House
Windows
WIN304
How to Bring Microsoft Apps to AWS to Unlock your Budget
Windows
WIN305
Architecting Microsoft Applications with VMware on AWS
Windows
WIN306
Design. Deploy. and Optimize Microsoft SQL Server on AWS
Windows
WIN307
Verizon: Modernizing Enterprise Infrastructure with AWS
Windows
WIN315
Deploying .NET Applications to AWS: Best Practices with KPMG
Windows
WIN402
Extending VSTS Build/Release Pipelines to AWS
Windows
WIN403
AWS Directory Service for Microsoft Active Directory Deep Dive
Windows
WIN404
How to Extend your Office 365 Investment to AWS
Public Sector
WPS203
Building Your Tech Talent Pipeline
Public Sector
WPS204
Effective Emergency Response in AWS
Public Sector
WPS205
Is AWS GovCloud Right for Your Regulated Workload?
Public Sector
WPS206
Modernizing Government in the Cloud
Public Sector
WPS207
Building On-Demand Classrooms and Labs Using Amazon WorkSpaces and Amazon AppStream 2.0
Public Sector
WPS301
Navigating HIPAA and HITRUST: A Quick-Start Guide to Account Governance Strategies
Public Sector
WPS302
FedRAMP Accelerated: Speeding Up the ATO Process
We Power Tech
WPT201
Gender Identity in Tech
We Power Tech
WPT202
Underrepresented: Bridging the Racial Digital Divide
We Power Tech
WPT203
Diversity in Tech: Lightning Talks
Public Sector
WPT204
She Powers Tech: Women Supporting Women in Tech


Implement a multivariate analysis interface for questionnaire validation of Likert-type scale variables.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.0.0), ltm |
| Imports: | tcltk, gWidgets, mvtnorm, nlme, pander, psych, IMPACT, multilevel |
| Published: | 2016-07-16 |
| Author: | Nery Sofia Huerta-Pacheco, Purificacion Vicente-Galindo, Mercedes Sanchez Barba, Maria Purificacion Galindo Villardon |
| Maintainer: | Nery Sofia Huerta-Pacheco <nehuerta at uv.mx> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.uv.mx/personal/nehuerta/qvm |
| NeedsCompilation: | no |
| CRAN checks: | QVM results |
| Reference manual: | QVM.pdf |
| Package source: | QVM_0.1.1.tar.gz |
| Windows binaries: | r-devel: QVM_0.1.1.zip, r-release: QVM_0.1.1.zip, r-oldrel: QVM_0.1.1.zip |
| OS X binaries: | r-release: QVM_0.1.1.tgz, r-oldrel: QVM_0.1.1.tgz |
| Old sources: | QVM archive |
Please use the canonical form https://CRAN.R-project.org/package=QVM to link to this page.


Example: **/*.java,
**/*.html, !**\test\**\XYZ*
A given directory is recursively scanned for all files and directories. Each file/directory is matched against a set of selectors, including special support for matching against filenames with include and exclude patterns. Only files/directories which match at least one pattern of the include pattern list, and don't match any pattern of the exclude pattern list will be placed in the list of files/directories found.
When no list of include patterns is supplied, "**" will be used, which means that everything will be matched. When no list of exclude patterns is supplied, an empty list is used, such that nothing will be excluded. When no selectors are supplied, none are applied.
The filename pattern matching is done as follows:
The name to be matched is split up in path segments. A path segment is the
name of a directory or file, which is bounded by
File.separator
('/' under UNIX, '\' under Windows).
For example, "abc/def/ghi/xyz.java" is split up in the segments "abc",
"def","ghi" and "xyz.java".
The same is done for the pattern against which should be matched.
The segments of the name and the pattern are then matched against each other. When '**' is used for a path segment in the pattern, it matches zero or more path segments of the name.
There is a special case regarding the use of File.separator
s
at the beginning of the pattern and the string to match:
When a pattern starts with a File.separator
, the string
to match must also start with a File.separator
.
When a pattern does not start with a File.separator
, the
string to match may not start with a File.separator
.
When one of these rules is not obeyed, the string will not
match.
When a name path segment is matched against a pattern path segment, the
following special characters can be used:
'*' matches zero or more characters
'?' matches one character.
May reference build parameters like ${PARAM}.
Examples:
"**\*.class" matches all .class files/dirs in a directory tree.
"test\a??.java" matches all files/dirs which start with an 'a', then two more characters and then ".java", in a directory called test.
"**" matches everything in a directory tree.
"**\test\**\XYZ*" matches all files/dirs which start with "XYZ" and where there is a parent directory called test (e.g. "abc\test\def\ghi\XYZ123").


Meet the Creators
Courtney is a junior in Francis Lewis High School. She is very enthusiastic about the Computer Science field due to her exposure and love for video games as well as growing up around the internet. She is very involved in her school's Patriot Battlion for Junior Reserve Officer Training Corps (JROTC) and is learning about leadership and teamwork. Some of her other hobbies include playing the piano and photography.
Courtney and two others created "Warm" to as a way to advocate for mental health. As a young adult growing up with a lot of cognizance and information about mental health she believes in spreading knowledge and awareness about the issue. By creating this game she hopes to achieve spreaing awareness and that it will educate other people about mental health issues.
<EMAIL_ADDRESS>Send me an email if you have any inquiries.


Lee County 17-year-old girl reported missing from Gateway area
by WFTX Digital TeamLEE COUNTY, Fla. -- Police are looking for a Gateway teenager who has been reported missing and may be in the company of two homeless men.
According to Fort Myers Police Department, 17-year-old Danielle Jacob was last seen in the Gateway area, headed to Lehigh Acres.
Danielle is 5'2" tall and 150 pounds, with brown hair and green eyes.
She is known to be in the company of two men believed to be homeless, named Gerald and Raymond. Their last names are unknown.
Gerald is a black male, approximately 20-30 years old, over 6' tall and lean.
Raymond is a white male with dark hair, approximately 5'5" tall.
Anybody with information on Danielle's whereabouts is asked to call Fort Myers Police at<PHONE_NUMBER>.


virtual
`Prev `__
V
`Next `__
--------------
**virtual**: adj.
[via the technical term virtual memory, prob.: from the term virtual
image in optics]
1. Common alternative to `*logical* <../L/logical.html>`__; often used
to refer to the artificial objects (like addressable virtual memory
larger than physical memory) simulated by a computer system as a
convenient way to manage access to shared resources.
2. Simulated; performing the functions of something that isn't really
there. An imaginative child's doll may be a virtual playmate. Oppose
`*real* <../R/real.html>`__.
--------------
+---------------------------+----------------------------+---------------------------------+
| `Prev `__ | `Up <../V.html>`__ | `Next `__ |
+---------------------------+----------------------------+---------------------------------+
| virgin | `Home <../index.html>`__ | virtual beer |
+---------------------------+----------------------------+---------------------------------+


The Future is in the Past
The world creates new and exciting things every day. To fill our time we want fun distractions. Sometimes these distractions lead to amazing new discoveries and technologies that completely change the way society works. Smart phones, The Internet, and Facebook have brought the world closer together while creating fun things for us to play with. If any of these things were removed we would feel lost.
After using something, we become dependent on it. Even being told about something which we haven't used can change our perspective. Louis CK jokes how people complain about things they've just discovered not working.
Once we're given something we expect it to always work. We don't appreciate what isn't earned and we always want more. It's an aspect of the human condition.
As society innovates we become dependent on the new technologies. We forget what was previously used to accomplish the same task. Eventually, the new system recycles the old idea. It's similar to fashion, if your clothes aren't in style, just wait, they'll become trendy again. It seems technology works the same way.
Out with thew New, In With The Old
When the Internet began to see traction it demanded dynamic web pages. Consumers weren't happy with the available information. They wanted pages which changed based on information they provided. They wanted web sites to work the way the applications on their computer did. This demand brought about the concept of the web application.
Once web applications were created, other verticals, demanded dynamic pages. Before the word blog existed, people were writing their thoughts in flat, unchanging, text files. These people would then put these thoughts on sites like Geocities, which just served static content. But, with the rise of new technologies and better browsers, bloggers demanded frameworks to help them share their ideas with the world. So Movable Type, TypePad, Wordpress, and Drupal were developed.
The bloggers demanded dynamic tools to create their content and entrepreneur's delivered. However, just because something can be created doesn't mean it should. It's hard to identify bad ideas when they're being demanded by paying customers.
These frameworks are still primarily used by professional bloggers but a change is occurring. A single question has arisen in many developer's heads. Why are bloggers using heavy frameworks to serve static content? The majority of bloggers don't need dynamic software in order to succeed.
Developers are creating tools allowing bloggers to remain light weight and focus on their content. The tools turn dynamic code into static files. Jekyll, which I use for this blog, does exactly that. The static content generated can be served cheaply from a content delivery network.
Bloggers never needed the ability to use dynamic code to generate great content. Allowing users to run their own application just to blog is crazy. It increases the time to get a blog up and running while increasing the chance of compromise if they don't install updates to their blog. Patches that fix SQL injection, remote code execution, and cross-site scripting bugs are constantly released for these heavy frameworks.
This transition and return to old technologies isn't just happening in software, but hardware too. Google noticed the trend of general consumers starting to use web applications rather than traditional native applications. In response, Google built an entire suite of tools to compete with traditional office products like Microsoft Word and Excel. Then decided they could sell Chrome notebooks, which only have a single application. A browser. With just a browser, consumers can now do (almost) everything a traditional desktop can do. But, there is a restriction. To use the device you have to have internet access.
This is the way computers used to work. Dummy terminals were used by clients to talk to a central server that managed everything. Chrome notebooks work the same way. We are going back to the ways of the past.
Getting There Faster
As humans we love trying new and shiny things. Early adopters are consumed with the need to try new things. The tastemakers determine what the rest of us will eventually use. But, those new things eventually move back to the old ways. It's just packaged differently.
Along with the previous examples mention Instagram used an old idea that resonated with us. With Instagram, we use a brand new device to take pictures which look like they've been developed in 1970.
I'm fascinated with the idea of speeding up this process. We currently go from A to B to A'. Is there a way to get to A' faster? Could we just go directly from A to A' without the middle step?


Created: 2021-02-02 Tue 20:41
Figure 1: Smart-meters connect to a station.
\[ s'_0 = \sum_{i=1}^{N} {s_i} = -s_0 \; (mod \; p) \]
\[ C_i = m_i P + s_i H(t) \]
\[ C = \sum_{i=1}^{N} C_i = m P + \sum_{i=1}^{n} s_i * H(t) \]
\[ D = C + s_o H(t) = m P + s H(t) = m P \]
Where: \[ s = s_0 + \sum_{i=1}^{N} s_i = 0 \]


MKOPO
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{%extends 'base.html'%} {%block content %}{{block.super}}
{{picture.title}}
{{picture.description}}
Category: {{picture.category}} Location: {{picture.location}} Posted: {{picture.posted_at}}{{picture.title}}
{{picture.description}}
Category: {{picture.category}} Location: {{picture.location}} Posted: {{picture.posted_at}}{{picture.title}}
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Category: {{picture.category}} Location: {{picture.location}} Posted: {{picture.posted_at}}{{picture.title}}
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Category: {{picture.category}} Location: {{picture.location}} Posted: {{picture.posted_at}}{{picture.title}}
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Category: {{picture.category}} Location: {{picture.location}} Posted: {{picture.posted_at}}


{{employee.firstName}} {{employee.lastName}}
{{employee.jobTitle}} ({{employee.employeeCode}})
{{employee.workLocation}}
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The Pattern Matching Views show the details of a detected pattern candidate. They consist of three views: The pattern view, the abstract syntax view and the class view.
The views can be opened via the menu bar: "Reclipse" → "Open Matching Views".
The pattern view shows the pattern specification of the selected pattern candidate. The specification is enhanced by information about which conditions of the pattern rule are satisfied, and which not. Satisfied conditions are illustrated in black, and unsatisfied conditions in gray.
The pattern view shows the matched pattern candidate in abstract syntax. There you can view the concrete objects that have been matched to the pattern during the inference. For each object the name attributes are shown.
Coming soon.
To simplify comparing the detected candidate and the pattern specification, three views provide a consistent selection. If an object in one of the views is selected, the according objects in the other views will be highlighted as well.
If the pattern specification of the selected candidate contains set objects, the Abstract Syntax View can show all the objects that belong to the content of the set. Use the toggle button "Toggle Set" to control this functionality.


Change Logs
| Version | Changes |
|---|---|
| 1.0.0 | Apr. 8, 2017 First Release |
| 1.1.0 | Apr. 20, 2017 First Big Fix. E019 Chorus Lines 1 and 2 joined; Misplaced double quote on 3rd line. E040 Chorus 3 Line 4: The -> Thee. T045 Stanza 3 Line 3 -> hanggan -> hanggang. T047 Stanza 5 Line 2: hangan -> hanggan. E057 Stanza 1 Line 3: fullness -> fulness. E059 Stanza 1,2,3,4,5 Line 6: fullness -> fulness. T062 Stanza 1 Line 3: na -> ng. T063 Stanza 3 Line 3: pag-ibg -> pag-ibig. T063 Stanza 5 Line 1: Pag-ibig -> pag-ibig. E064 Stanza 2 Line 2: Godhead-fullness -> Godhead-fulness. T064 Stanza 2 Line 1: Pagkatao'y -> Pagka-tao'y. T069 Stanza 3 Line 5: Tao ng -> Tao'ng. T095 Stanza 2 Line 7: pakakautang -> pagkakautang. T120 Stanza 4 Line 4: ka -> Ka. T130 Stanza 2 Line 9: Lubusan -> Lubusang. T132 Stanza 2 Line 2: sa -> na. T149 Stanza 4 Line 4: Added sa. E181 Stanza 3 Line 6: flock -> fold. T196 Stanza 3 Line 3: Ka't -> Ka'y. T251 Stanza 1 Line 4: Kristo -> Hesus. T257 Stanza 2 Line 3: Espiritu -> Espiritu'y. T265 Stanza 3 Line 2: Unggwento -> Ungguwento. T278 Stanza 6 Line 4: Pamuspos -> Pampuspos. T323 Stanza 3 Line 2: ilaw -> Ilaw. T339 Stanza 4 Line 1: Deleted ang. T437 Stanza 7 Line 2: kompleto -> kumpleto. T440 Stanza 5 Line 2: makalangit -> magkalapit. T445 Stanza 3 Line 3: Deleted ko. T452 Stanza 3 Line 6: niya -> Niya. T475 Stanza 2 Line 4: paglalakbay -> paglakbay. T482 Stanza 1 Line 2: Deleted at. T493 Stanza 3 Line 4: Sila'y -> Silay. T495 Stanza 3 Line 3: ng -> sa. T495 Stanza 6 Line 3: Nalalaman -> Nilalaman. T536 Stanza 4 Line 1: nal'wahating -> nal'walhating. E538 Stanza 2 Line 3: practice -> practise. E563 Stanza 3 Line 4: Know -> Knows. T616 Stanza 3 Line 3: l'walhati -> l'walhati't. T623 Stanza 2 Line 1: kalulwa'y -> kaluluwa'y. T628 Stanza 1 Line 1: Bethlehem -> Betlehem. T628 Stanza 5 Line 2: And -> Ang. T635 Stanza 3 Line 7: Puso'y -> Puno'y. T656 Stanza 4 Line 4: Iyo'y -> iyo'y. E977 Stanza 4 Line 7: toys -> joys. Added TS numbers for E1200-E1260. Correction of some hymn titles/categories. Deleted spaces before long dashes at end of lines to avoid separate lines with only long dashes. Correction of inconsistencies between first and other choruses for some hymns. Various changes in punctuations. Some cosmetic fixes. |
| 1.2.0 | May 5, 2017 Fixed Classical TOC by replacing THE WORD OF GOD with SCRIPTURES FOR SINGING. Restored all English not present in hymnal. |
| 1.2.5 | May 12, 2017 Separated Table of Contents into several pages. Added all English only hymns to Classical Subcategories Page. E404 title: LIKENESS TO -> EXPRESSION OF. Added E106 in Classical Subcategories. Added E241 in Classical Subcategories. Fixed E172 - E176 in The Baptism Subcategories. Added E695 in Subcategories. E489 -> E849 in Subcategories. Removed duplicate E1115 in Subcategories. Removed duplicate E1163 in Subcategories. Added S115 in Selected First Lines. Removed S428 in Selected First Lines. Removed S540 in Selected First Lines. Removed S752 in Selected First Lines. Various corrections to Selected First Lines. E774 title: MECRY -> MERCY. E915 and E916 title: NATION'S -> NATIONS'. E954 title: BLESSED HOPE -> THE CROWNING DAY. E1190 title: CHRIST -> GOD. |
| 1.2.6 | Nov. 20, 2017 E069: Fixed meter format. E665: Added meter. |


How to Put Multiple Test Cases in One M-file
The Quick Start example showed how you can write a simple M-file to be a single test case. This example shows you how to put multiple test cases in one M-file.
Name your M-file beginning with "test", like "testMyFunc". Start by putting the following two lines at the beginning of the file. It's important that the output variable name on line 1 be test_suite.
function test_suite = testMyFunc initTestSuite;
Next, add subfunctions to the file. Each subfunction beginning with "test" becomes an individual test case.
The directory example_subfunction_tests contains a test M-file containing subfunction test cases for the fliplr function.
cd example_subfunction_tests type testFliplr
function test_suite = testFliplr initTestSuite; function testFliplrMatrix in = magic(3); assertEqual(fliplr(in), in(:, [3 2 1])); function testFliplrVector assertEqual(fliplr([1 4 10]), [10 4 1]);
As usual, run the test cases using runtests:
runtests
Starting test run with 2 test cases. .. PASSED in 0.074 seconds.


Two in five trusts failing Hancock’s leadership target
by Nick Carding- HSJ research finds just 78 trusts with technology chiefs on their boards
- Matt Hancock wants board-level chief information officers at every trust
- HEE technology lead: “CIOs on boards is ‘means to an end”
Two in five trusts have told HSJ they do not have a director with IT responsibility on their board, prompting health secretary Matt Hancock to renew calls for every trust to do so.
A year ago, Mr Hancock said chief executives “should be asking serious questions of themselves” if their trust did not have a chief information officer on its board, or have the CIO report to the chief executive.
Of the 200 trusts which responded to HSJ (see research at the bottom of this story), 114 said their organisation had a CIO while another 48 said CIO duties were carried out by staff with a different job title, such as finance or medical director, or director of digital services, director of IT, or director of transformation.
Of those 162 organisations, 84 — 42 per cent of the total 200 which responded — said their CIO or director responsible for IT did not sit on their board. Seventy-eight had either a CIO, or another director who is responsible for IT, who sits on their board.
For a further 38 trusts, it is not known whether they have a director with IT responsibility on their board, as they did not specify to HSJ, although they do not have a dedicated CIO.
Nine trusts — including three acute providers — reported not having either a CIO or chief clinical information officer.
Asked about the figures, Mr Hancock told HSJ the NHS needs people who understand technology across health systems, “especially at senior leadership levels”.
“We are seeing progress, but there is still more to do,” he added.
“I want to see a CIO or chief clinical information officer on the board of every local NHS organisation, and I am determined to make that a reality.”
CIOs on boards — ‘the means to an end’
Although only 162 of the 200 trusts which responded to HSJ reported having a CIO or similar-level staff member, every trust is likely to have a person who is responsible for IT.
But, as HSJ’s research lays bare, there is wide variation in the job titles and duties held by CIOs and IT leaders in the NHS, which experts say makes the question of them being on boards a nuanced issue.
James Freed, CIO for Health Education England, told HSJ informatics jobs in the NHS are currently not defined as well as clinical professions or accountancy, despite the profession not being new to the health service.
“You will almost always have someone whose responsibility is technology, information, data and knowledge, and that’s what my definition of a CIO is — they might not just be called a CIO,” he said.
“My sense is… that we are pretty much at saturation in terms of leaders in large organisations whose remit and responsibility is to make the best use of the data and technology. I would be surprised if we see a significant growth in terms of number of people in those roles.”
Asked if these leaders need to be on a trust’s board, Mr Freed said it is an “excellent idea”, but he stressed it is “the means to an end”.
“While I have absolutely no doubt that, as a policy direction, it will make an improvement in most cases to an organisation’s ability to extract greatest value from digital, it’s a proxy.”
The CIO view
Beverley Bryant, who was appointed chief digital and information officer (a board-level job) at Guy’s and St Thomas’ and King’s College Hospital foundation trusts in August, believes having a CIO on the board sends a message to staff that the organisation sees digital “as the core part of how we intend to work”.
She told HSJ CIOs should contribute to their trust’s strategic and business agenda and CIOs must not “only spring to life when the IT gets discussed”.
“If I’m seen to be contributing to those discussions that aren’t about IT, that builds confidence in my colleagues which opens up to them how digital can help them,” she said.
“That’s why it’s important having a CIO in the boardroom.”
Tom Norton, the CIO of Yeovil District Hospital FT who sits on the board, said being on the board means he can provide an “immediate response” to questions and issues raised by other directors.
“In other trusts I’ve worked with I’ve experienced non-executive directors whose view of digital is a printer and a workstation,” he said.
“I just provide a greater level of insight at the point of a board that means NEDs and directors have an immediate understanding of what’s going on.”
Being on the board has also helped “escalate and prioritise” issues around cybersecurity by “converting” the risk into a language that directors can understand, he said.
Reporting through the right lens
However, Mr Norton added trusts with “really strong governance and reporting” could argue their boards have all the information required without a CIO on the board.
“For example, a finance director can be completely capable of covering the high-level duties that fall to a CIO at board level, but that would depend on the FD having an interest in IT,” he said.
“Also, as an FD you’re only going to have a certain amount of percentage of time to dedicate to the [CIO] task.”
Mr Freed said one problem which can occur when the CIO does not sit on the board is the reporting of digital and technology progress tends to be done “through a finance lens rather than a service transformation, quality, safety or satisfaction lens”.
“As with any decision that only has one major perspective, you run the risk of not making the right decision,” he said.
“In general, I would be more eager to see a CIO on a board or reporting through a transformation director. The finance lens is happening more than transformation, but less than it used to be.”
HSJ contacted five trusts whose CIO does not sit on the board, but none of them were able to comment. The figures cited in this story were collected in September and October.
| Downloads |
|---|
| CIO CCIO research Excel, Size 22.51 kb |
Two in five trusts failing Hancock’s leadership target
- Two in five trusts failing Hancock’s leadership target
- Revealed: Third of trusts do not have clinical technology lead


A collection of helper classes.
Float an element to the left or right with .float-left
or .float-right
.
Align text to the left, center or right with .text-left
, .text-center
or .text-right
.
To force all elements to have the same line height apply one of the following classes .line-xs
, .line-xs
, .line-sm
, .line-md
, .line-lg
,.line-xl
, .line-xxl
.
To force an element to display block use .block
. To make an element position relative use .relative
.
To make an element use the pointer as a mouse cursor use .pointer
.
Prefix classes with .x2
to reference hi-res sprites on retina ready devices e.g .x2 .sprite{ background:url(sprire@2x.png); }
.
To add CSS3 transitions to any element add one of the following classes .transition-sm
, .transition-md
or .transition-lg
.
To stop a parent element scrolling when scrolling a child add the class .stop-parent-scroll
to the child.


Package to load, preprocess and work with raw eyetracking data.
The package works with EyerObject
of S3 class eyer
. You can construct the object on your own based on documentation
As the raw eyetracker data can get very large, the idea is that after the data has been preprocessed and fixations, saccades and events have been extracted, the package resaves the preprocessed files inside the original folder. In this way, when you load the participant’s data again, you can immediately load the preprocessed files. In this way, the general function to read data takes a folder rather than a file and tries to look for and load any preprocessed raw files.
For preprocessing and loading raw eyetracker data, you either have to write your own code, or you can use pupilr for pupil labs eyetrakcking or eyelinkr for Eyelink SR 1000. Therse packages contain functions to convert data to proper eyer
format.


How
to
Mathematicians
Think About
Four Dimensions
Zachary Steinberg
A link to these slides will be emailed to you after class - don't worry about taking notes!


This year I will be turning the Big 40. I am celebrating my birthday in Phoenix Arizona, I would like for you to come hang with me.
Please checkout the itinerary below and if you would like to come and plan on coming please reply via txt to me @7733682997.
Friday Activities
Hiking Camelback Mountain
Date: September 16th, 2016
Time: 7:00 a.m. - 9:00 a.m.
Place: Camelback Mountain
Address: 4925 E. McDonald Dr., Phoenix AZ
Price: Free
Dodgeball
Date: September 16th, 2016
Time: 1:00 p.m. - 2:00 p.m.
Place: Sky Zone Indoor Trampoline Park
Address: 9040 W Larkspur Dr #134, Peoria, AZ 85381
Price: $20.00
Topgolf
l
Date: September 16th, 2016
Time: 9:00 p.m. - 12:00 a.m.
Place: Top Golf
Address: 9500 E. Talking Stick Way Scottsdale, AZ 85256
Price: $75.00 per person
Saturday Activities
Off Roading
Date: September 17th, 2016
Time: 7:00 a.m. - 3:00 p.m.
Place: Sedona ATV & Buggy Rental, Inc.
Address: 2740 W. State Rt. 89A Sedona, AZ 86336
Website: http://www.atvsedona.com/
Price: $150.00 per person
Transportation will be provide to Sedona, you need to bring money for food and drink.
Dinner at Tommy Bahama
Date: September 17th, 2016
Time: 8:00 p.m. - 11:00 p.m.
Place: Tommy Bahama Restaurant, Bar & Store
Address: Kierland Commons, 15205 N Kierland Blvd, Scottsdale, AZ 85254
Price: $20-$30 per person
Sunday Activities
Thank God
Date: September 18th, 2016
Time: 10:00 a.m. - 12:00 p.m.
Place: TBD
Address: TBD
Price: Free
Barbecue
Date: September 18th, 2016
Time: 2:00 p.m. - 6:00 p.m.
Place: TBD
Address: TBD
Price: $10
Barbecue will be at the house we will be renting, if you are interested in staying in the house please let me know by August 25th.


- ChamferBrepTangentially (GH)
- ChangeObjectsHue (Tool)
- CheckForUpdate() (built-in function)
- CircleToPlanes (Tool)
- Clean Worksession Layername (GH)
- ClearUserText (Command)
- ClearUserText() (built-in function)
- Clipping Plane Tool (GH)
- ClippingCube (Command)
- (Tool)
- Closest Curves (GH)
- ClosestObjectsCheck (Tool)
- Cluster (GH)
- CommonEdge() (built-in function)
- ConstructionLine (Command)
- CopyFullLayerPath (Command)
- CopyObjectsToLayouts (Tool)
- CopyObjectsToPoints (Tool)
- copyUserText (Tool)
- CopyWorksessionObjects (Tool)
- Counter Engine (GH)
- Crease Angle (GH)
- CreaseAngle() (built-in function)
- CrvClosestObject (GH)
|
- CSVOpen() (built-in function)
- CSVRead() (built-in function)
- CSVWrite() (built-in function)
- Curve CCW (GH)
- Curve Deviation (GH)
- Curve Orientation Check (GH)
- Curve Rationalise Increment (GH)
- Curve Sort By Length (GH)
- CurveAddArrows (Tool)
- CurveBooleanDifference (Tool)
- CurveDuplicates() (built-in function)
- CurveExplodeToSubLayers (Tool)
- CurveFilletCurves (Tool)
- CurveFilletCurvesBLAH (Tool)
- CurveOffset (Tool)
- CurvePullPoints (Tool)
- CurveReliefJoint (Tool)
- Curves vs Curves Clash (GH)
- CurveSeparate (Tool)
- CurveSeparate_02 (Tool)
- CurveSetPoints (Tool)
- CurveSolveOverlap (Tool)
- CurveSplitOverlap() (built-in function)
|


You can move the cloud around with your mouse, and one tweet at a time will be highlighted. When you click inside the cloud, you will activate the highlighted tweet, which means:
If the the tweet contains a link, your browser will ask if you'd like to go to that page.
If the tweet has a picture, the page will display that picture.
If the tweet has neither, the text of the tweet will be shown.


Paycento Web Summit 2012 - Day one: Is gra liom Eire
Introduction
When Geert from Paycento asked me to join him and Pieter to Ireland for THE start-up convention in Ireland named Web Summit, I immediately agreed to join them for the following reasons:
- Paycento is still very active, even though we do not blog about it currently.
- Web Summit is probably the biggest conference for start-ups in Europe, so there is an interesting buzz here, with some really interesting speakers.
- I love interacting with people I do not know yet, especially when we do share similar interests.
- You get to see a whole new world out there, with opportunities you could not even imagine thinking about.
- And, last but not least: "Is grá liom Éire" - that is Gaelic for "I love Ireland" - even though it has been over 10 years ago I spent a few days here, I really like the way Irish people interact and socialize.
Here is an overview of our first day!!!
3...2...1... Lift-off!! We have lift-off!!
So after a false start (our train arrived a bit on the late side in Brussels, but luckily our plane was delayed as well), we managed to safely land in Dublin, and actually got to our car, which has been the decor for a lot of laughing and Mr. Bean-like "adventures" on the Irish roads. Driving left is a bit of a challenge, and I am actually glad I did not bring my driver's license - how convenient, isn't it, Geert ;) -, because I would probably wind up driving the roundabout in the wrong direction.
So after getting acquinted with our jolly transportation device we managed to arrive to the Web Summit in one piece, where we met Pieter (who had been in Dublin since yesterday evening).
He gave us a short briefing about things to expect and things we should do (i.e. some mere guidance, nothing in particular), we put on our Paycento T-shirts and were ready for take off.
Who did you meet ?
We met a lot of interesting people, and also found out there were 13 Belgian companies owning a booth at the convention.
As there are a lot of exibitors, we went by them one by one and talked to some of them.
We also saw a lot of new and interesting approaches to known and unknown things, some of the things were quite amazing. One thing I loved in particular was the booth next to ours, where a company named Ovelin showed us a really great app"guitarbots" that listens to you playing the guitar and guides you using a game, so you can learn to play the guitar properly. While testing the app it immediately spotted my wrong grab on the G chord (muting the high E), so it is really kind of an amazing thing, it is like a guitar-teacher-in-a-box.
There were lots and lots more people we met, so this really is a great venue to attend.
There would be way to many here to mention, but I am confident we will hear from some of them in the future...
We also saw quite a few people there we plan on visiting tomorrow....
We also had a really interesting talk with the founder of MySQL who has now started MariaDB as a drop-in replacement for MySQL, since he does not like the way MySQL is currently evolving; thank you for the ideas, inspiration and also the glass of Black wodka!
Having a glass of vodka with the founder of mysql #websummit twitter.com/Paycento/statu…
— Paycento (@Paycento) October 17, 2012
The Web Summit conference
The venue is really well organized, for example the catering really quite extensive (hot/cold platters,sandwiches,soup,...) and coffee/other drinks are available throughout the building. Everything is included in the ticket price, so you know what you will spend once you have acquired a ticket.
In the evening there are special events, where the whole pub is full of start-up people willing to network, and once again we had quite a few interesting conversations.
We even had the possibilitiy to win a Gibson Les Paul, all we had to do was pose with it. I would love to win it, but I am afraid there were some really original poses in there, so I assume I will somehow not win this contest. -in my defense: I am not a poser ;) -.
We left rather early, since we had some driving to do to our AirBnB host.
Conclusion
While I had no idea what to expect, I am glad Paycento allowed me to join Web Summit; all in all it is a great experience, and I have both met a lot of interesting people, and we have heard a lot of interesting ideas/opinions.
Feel free to come over and visit us over at booth 197, especially if you are a content provider, press or an investor.
Signing off/see you tomorrow!
Tom


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--- layout: post date: 2008-02-14 time: "09:00:00" authors: ["Greg Wilson"] title: Grumpy Minds Think Alike tags: ["Community", "Noticed"] ---
Ned Gulley pointed me at this talk by fellow-Mathworkser Steve Eddins that hits a lot of the same core ideas as Software Carpentry. Time to convert SC to a wiki, I think, and start pushing it again...


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Demo of MathJax support
Hans Petter Langtangen
[1, 2]
[1]
Simula Research Laboratory
[2]
University of Oslo
May 29, 2016
Demonstrate how well various LaTeX equation environments work with MathJax in HTML and Sphinx.
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Sinn Féin meets in Derry for its Ard Fheis
by NewstalkSinn Féin has promised to raise the minimum wage and reduce the cost of insurance if elected to government.
The party is meeting in Co Derry on Saturday for its Ard Fheis.
Free public transport for children and an increase in local Gardaí are also some of the pre-election promises.
The countdown to an Irish general election and four by-elections top the agenda.
Brexit, Irish unity and a general election in the UK are also in the spotlight.
Around 2,000 delegates will also vote on the party's deputy leadership.
The party has outlined 166 motions to debate solutions for critical issues facing citizens across the island of Ireland.
Party leader Mary Lou McDonald will deliver a keynote speech later.
A fringe meeting will also take place to discuss the economic merits of a united Ireland with Seamus McGuinness, professor of economic research at the ESRI.
The Ard Fheis is also debating issues such as the cost of insurance, the cost of childcare, rents and the need to deliver a large-scale public housing programme.
Finance spokesman Pearse Doherty said addressing rising insurance costs will be a priority.
"Sinn Féin is the party that will end the insurance rip-off, we are the party that will take on this industry.
"We'll reduce costs by banning dual pricing that is hitting and hurting loyal, vulnerable customers with artificially high premiums.
"We're the party that will make sure that my Insurance Contracts Bill, that increases protection for policyholders, becomes law".


This is an example of my custom logo designs.
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2. Package Documentation¶
FloatingSE is a module within the larger WISDEM project, developed primarily by engineers at the National Renewable Energy Laboratory (NREL). FloatingSE is open-source and the project repository is housed on GitHub at https://github.com/WISDEM/FloatingSE
2.1. Installation¶
Prerequisites
General: NumPy, SciPy, OpenMDAO
WISDEM-Models: CommonSE, TowerSE, pyMAP, pyFrame3DD, Akima
Supporting python packages: Sphinx, Sphinxcontrib-bibtex, Numpydoc
Optional visualization packages: Mayavi, VTK
Clone the repository at https://github.com/WISDEM/FloatingSE.
Install FloatingSE with the following command for a permanent installation:
$ python setup.py install
For a development installation use:
$ python setup.py develop --user
To check if installation was successful try to import the module:
$ python
> import floatingse
or run the unit tests:
$ python test/package.py
An “OK” signifies that all the tests passed.
2.2. Package Files¶
The files that comprise the FloatingSE package are found in the
src/floatingse
directory in accordance with standard Python package
conventions. In addition to these files, there are also affiliated unit
tests that probe the behavior of individual functions. These are located
in the test
sub-directory. A summary of all package files is
included in Table 2.1.
| File Name | Unit Test File | Description |
|---|---|---|
floating.py |
floating_PyU.py |
Top level FloatingSE OpenMDAO Group |
column.py |
column_PyU.py |
Components calculating mass, buoyancy, and static stability of vertical frustum columns |
loading.py |
loading_PyU.py |
Components for Frame3DD analysis of structure, mass summation, and displacement |
map_mooring.py |
map_mooring_PyU.py |
Mooring analysis using pyMAP module |
substructure.py |
substructure_PyU.py |
Final buoyancyand stability checks of the substructure |
package_PyU.py |
Convenience aggregator of all unit test files | |
instance/floating_instance.py |
Parent class controlling optimization drivers, constraints, and visualization | |
instance/spar_instance.py |
Spar example implementing design parameters and visualization | |
instance/semi_instance.py |
Semisubmersible example implementing design parameters and visualization | |
instance/tlp_instance.py |
Tension leg platform example implementing design parameters and visualization |


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