Amazon EMR Cluster HadoopJarStepConfig
The
HadoopJarStepConfig
property type specifies a job flow step consisting of a JAR file whose main function
will be executed. The main function submits a job for Hadoop to execute and waits
for the job to finish or fail.
HadoopJarStepConfig
is a property of the Amazon EMR Cluster StepConfig property
type.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Args" : [
String
, ... ] , "Jar" :String
, "MainClass" :String
, "StepProperties" : [KeyValue
, ... ] }
YAML
Args -
Jar:
String
String
MainClass:String
StepProperties -
KeyValue
Properties
Args
-
A list of command line arguments passed to the JAR file's main function when executed.
Length Constraints: Minimum length of 0. Maximum length of 10280.
Pattern:
[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\r\n\t]*
Required: No
Type: List of String values
Update requires: No interruption
Jar
-
A path to a JAR file run during the step.
Length Constraints: Minimum length of 0. Maximum length of 10280.
Pattern:
[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\r\n\t]*
Required: Yes
Type: String
Update requires: No interruption
MainClass
-
The name of the main class in the specified Java file. If not specified, the JAR file should specify a Main-Class in its manifest file.
Length Constraints: Minimum length of 0. Maximum length of 10280.
Pattern:
[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\r\n\t]*
Required: No
Type: String
Update requires: No interruption
StepProperties
-
A list of Java properties that are set when the step runs. You can use these properties to pass key value pairs to your main function.
Required: No
Type: List of Amazon EMR Cluster KeyValue property types
Update requires: No interruption
See Also
-
HadoopJarStepConfig in the Amazon EMR API Reference


Concordion expects test fixture (or its parent) to be annotated with @RunWith(classOf[ConcordionRunner])


A common problem: File Corruption.
A common problem is that the very act of sending files through email can corrupt them. It's important to know that in order to enable an end user to be able to address the corruption, normally, permissions have to be set properly. Sometimes, simply routing a file through a "reader" version of sofware is enough to corrupt it. See the Discussion Forum, "Reader DC Send File corrupts additional attached file" for an example of this. There's also common issues with proprietary systems that do not always play well together. In many cases, support requires a particular, proprietary setup in order to even start. A common example of this is in opening proprietary Adobe products in a Microsoft environment.
Example: Microsoft Support
"The file is corrupted and cannot be opened" error message when you open an attachment in Office 2010, The reference file is located here. The file was Last Updated: Apr 17, 2018.
Excerpts from the Microsoft Support Article are below:
If you want to manually set component security settings back to the default settings, follow these steps:
- Click Start, type dcomcnfg in the Search box, and then click dcomcnfg in the Programs list. See Figure 1 below from the Microsoft article.
- In the navigation pane, expand Component Services, expand Computers, right-click My Computer, and then click Properties.
- Open the Default Properties tab, and then set the following values:
- Default Authentication Level: Connect
- Default Impersonation Level: Identify
FAQs
General Help
This articles provides a good overview on the subject.
- Unable to open or read a PDF by Computer Hope Updated: 01/24/2018 by Computer Hope
Discussions
These discussions may be of interest, as they reveal common frustrations across multiple platforms concerning the problem of file corruption for PDFs.
- Reader DC Send File corrupts additional attached file Discussion Forum BagmakersIT Jan 23, 2018 10:13 AM Latest reply on Mar 9, 2018 9:52 AM by SheaC15.
- Emailed PDF’s are damaged and can’t be opened Cloudflare community support. Conversation ongoing, unresolved issue. Jan-Feb
-
Mac Mail PDF attachments corupt
When I try to open a PDF in Mac mail emailed as an attachment on MacOS High Sierra 10.13.1, the file is corrupt. When I download the same PDF for icloud.com mail it opens fine. How do I fix?
macOS High Sierra (10.13.1) Posted on Nov 22, 2017 7:16 AM Unresolved Thread.


Thank you for your participation today. Please wait patiently for the experimenter to call your participant number. When your number is called, gather all of your belongings, and walk to where you will be paid.
Your participant number is {{ participant.label }}.
Please remember that this research is only valuable if all participants have the same experience. Therefore, please do not discuss this experiment with others outside of the lab.


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Tragedy as young biker dies after horror crash in Glasgow's west end
Kieran McSorely's motorbike collided with a Vauxhall Vectra on October 31.
by Kathleen SpeirsA young biker has died following a horror crash in Glasgow.
Kieran McSorely was involved in the smash with a Vauxhall Vectra on Queen Margaret Drive in the west end of the city on October 31.
The 23-year-old was rushed to the Queen Elizabeth University Hospital .
Police Scotland confirmed that Kieran, from Maryhill, Glasgow, passed away on Tuesday.
A spokesperson from the force said: "The 23 year-old motorcyclist, who was being treated at the Queen Elizabeth University Hospital since the crash, died on Tuesday 12 November 2019.
He can now be named as Kieran McSorley, 23, of Lochgilp Street, Glasgow."


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March and Simon (1958) define enterprises as complex systems comprising individuals or groups that coordinate actions in pursuit of common goals. During the late 1980s, John Zachman (1987) applied the notion of architecture to represent the functioning of an enterprise, specifically within the context of the enterprise IT landscape and the business environment. Therefore, the primary scope for the term enterprise in this book is reduced to the enterprise IT landscape plus its relationship with the business environment.
Enterprise architecture (EA), then, is loosely defined as the architecture of a system where the system is the whole enterprise. Figure 2-2, using an analogy with city planning, illustrates the core concept behind EA.
EA is documented using architecture artifacts such as model diagrams and principles. These are collectively referred to as the architecture blueprint.
It must be noted that EA does not stand alone in its pursuit of managing the complexities of the enterprise IT landscape. Apart from pure EA, the role of an enterprise architect extends into the realms of other IT management practices as well, especially in strategic enterprise planning, IT investment management, IT project management, and IT infrastructure management.
Figure 2-3 shows that EA describes a clear line of sight from strategic goals through project investments to measurable business value and performance improvements—for the entire enterprise or for a part of the enterprise. EA helps organize and illuminate the relationships among the enterprise’s strategic goals, investments, business solutions, and measurable performance indicators.
EA is however just one link in a lattice of integrated IT practice areas. Other practice areas, such as strategic planning, investment management, project management, and infrastructure management, must be equally strong and fully integrated with the EA practice. Only through such integration can EA provide a stable foundation for sound IT management practices, end-to-end governance of IT investments, and alignment of IT implementation with the enterprise’s vision and strategic goals.
There is one more fundamental distinction of EA that should be noted here. In contrast to the traditional architecture practices, which primarily look at pure technical systems such as a bridge, a car, or a plane, EA deals with a socio-technical system. This difference is like the difference between a house and a home.  The people element brings complex behavioral attributes into the functioning of an enterprise in the same way as it turns a house into a home. Hence, the term architecture does not literally apply to the enterprise in the same way as it has been traditionally applied to technical systems.
In this book, an enterprise is characterized as an organization of people who use (among other things) IT to do business. In that sense, enterprise architecture not only deals with technical aspects such as IT systems and infrastructure, but it also deals with social elements such as collaborative business processes, organizational leadership, political dynamics, and work culture in the enterprise. This fact carries great consequences for the way EA should be looked at and dealt with. We will elaborate this concept in greater detail in Chapter 6, in the section “Reflection on Complexity.”


Pair programming is a fun and collaborative exercise. In terms of DBC, pair programming is important because it provides practical teamwork skills for when students go into the actual tech industry and job market.
Pair programming is a collaborative activity where two developers work together to code with specific roles. It is intended to maximize the efficiency and work and share knowledge.
Adam Dziuk
Sacramento, CA
Web development, music, guitar, sports, video games, film
I rediscovered my original passion of web development because I didn't want to go to medical school.
Aki Suzuki
San Jose, CA
Music (a capella), guitar, piano, cello, programming, basketball, golf, watching a lot of TV.
Fuel the inner passion to become a world class beginner.


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{{character['description']}}
{% endif%}
{% if owner is not none %}
Owned by {{owner}}
{% endif %}
{% if puller is not none %}
Pulled by {{puller}}
{% endif %}
Wishlists
{% for player in players_wished %}
{{ player }}
{% endfor %}
{% endblock %}


Mariafernanda Salas
About Me
Hi, I'm Marifer Salas (she/her).
I'm a third year Computer Science student at Tecnológico de Monterrey, Mexico.
My hobbies include photography (pretty much about nature and landscapes), listening to music and watching series.
For a couple of years, I've loved to be part of student clubs related to my career, teaching programming fundamentals to middle schoolers and participating at the hacking community of MLH as a hackathon's organizer
Random Quotes
Click here to get a random quote from my favorite TV Show (Grey's Anatomy):
Projects & Experiences
ACM Monterrey
ACM MTY stands for Association for Computing Machinery (ACM) Student Chapter in Monterrey.
- Logistics Coordinator, 2019
- President, 2020
- Social and Student Responsibility Coordinator, 2021
HackMTY
- Logistics Coordinator, 2019
- Hosted Mexico's biggest student hackathon attended by 500 students.
- President, 2020
- Hosted HackMTY’s first digital hackathon, attended by 400 students from all over Mexico.
- Logistics Coordinator, 2021
- Soon...
Programando un Mexico Mejor
Coordinator of PUMM, a web development course for middle school students, 2020 & 2021.
ApportaTeen
Coordinator of AportaTeen: Competitive Programming Course, a Java programming basics course for middle school and junior high school students, 2019 & 2020.
Women In Tech
Instructor of WIT Code, a course for young girls aged 12 to 15 interested in computer science, 2019 & 2020.
Random Lyrics with Fetch
Click this button to see random lyrics from Taylor Swift.
Jokes Section
Translation
Select a language, then click the button to translate it.


{% extends "base.html" %}
{%block title %}Providers{% endblock %}
{% block content %}
{# If the user is logged in and is a provider administrator,
allow editing of the organization. #}
Show list of providers.
If the user is a provider administrator allow editing.
{# Otherwise show the list of providers #}
{% endblock %}


Population Informatics Research Group
Data Science
Overarching research question: How can we use the abundance of existing digital data, aka big data, (e.g. government administrative data, electronic health records) to support accurate evidence based decisions for policy, management, legislation, evaluation, and research while protecting the confidentiality of individual subjects of the data? This question focuses on the data science of using massive secondary datasets, a step before the traditional statistical methods can be applied to the data to address specific questions to improve population health (public health).
Preferred approaches: Data Science – To build efficient and effective human computer hybrid processes and systems to clean, integrate, and extract valuable information from raw chaotic data and deliver the information in a timely manner to decision makers (e.g. researchers, policy makers, clinicians) to improve public health.
What is Data Science
Some quotes I like
- Telling your story with data using the scientific method (Hye-Chung Kum)
- Data Science is a mash-up of several different disciplines (Data Engineering, Scientific Methods, Math, Statistics, Advanced Computing, Visualization, Hacker Mindset, Domain Expertise). We also noted that an individual data scientist is most likely an expert in one or two of these disciplines and proficient in another two or three. There is probably no living person who is expert in all these disciplines, and an extremely rare person would be proficient in 5 or 6 of these disciplines. This means that data science must be practiced as a team where, across the membership of the team, there is expertise and proficiency across all the disciplines (Wikibooks: Data Science Intro).
- Knowledge of R , Python or other tools is secondary to knowing how to approach the data, how to ask right questions, and good intuition about what works and what not (Gregory Piatetsky-Shapiro, Analytics/Data Mining Expert, KDnuggets President).
- as one long-time “data scientist” I love the new term for what I do. I think it aptly describes what I do, what I’ve always done, with data (Daniel Dean Gutierrez, Data Scientist at AMULET Analytics).
- And, of course, a natural curiosity on how things work and the ability to hire and manage other folks who also have a passion for information. (Jim Lola, Entrepreneur, Sr. Manager, Technologist, Architect, & Author )
Required Skill Set: Many have written on the essential skill set for Data Science. The following are common across most and those that I agree with in the order of importance.
- Curiosity: a desire to go beneath the surface and discover and distill a problem down into a very clear set of hypotheses that can be tested with data
- Communication: The ability to communicate and translate between data, models, and real world problems
- Critical Thinking: The ability to reason and think through a real problem, understand the data at hand with little documentation, the limitations, and get the best answer possible for the given problem and data. The ability to know how much accuracy is required in the given problem and an intuition about the accuracy of the data at hand.
- Cleverness: The ability to look at a problem in different, creative ways
- Programming (software engineering): The ability to use the tools (programs like R, SAS, Phython, Excel etc) to manipulate data easily into any shape, and develop efficient processes of converting data into information that can be iteratively updated and adjusted easily. Developing tractable and agile processes with sufficient but minimal documentation is key.
- Statistics/Math: The ability to understand how to take data points and build models
- Domain Knowledge: The ability to either know the domain knowledge (i.e., healthcare, employment, education, welfare, etc.) or learn it quickly or work (communicate well) with a domain expert
Interested to become a Data Scientist? You can try some data science courses at Coursera.
Depending on your mix of expertise, there are three types of data scientists
I think a well defined field called KDD (Knowledge Discovery and Datamining) describes the data science process the best.
Data Science Videos