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new 84d94a8 Update docs page.
84d94a8 is described below
commit 84d94a8c2fcb5dc3e4363bde631e3df71657f043
Author: Thomas Weise <[email protected]>
AuthorDate: Sat Apr 28 19:26:31 2018 -0700
Update docs page.
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- <a href="http://docs.datatorrent.com/beginner/"; rel="nofollow">Beginner's
Guide to Apache Apex</a> This document provides a comprehensive overview of
Apex and is recommended for developers just starting out with Apex.
- [Building Your First Apache Apex Application](https://youtu.be/LwRWBudOjg4)
This video has a hands-on demonstration of how to check out the source code
repositories and build them, then run the maven archetype command to generate a
new Apache Apex project, populate the project with Java source files for a new
application, and finally, build and run the application -- all on a virtual
machine running Linux with Apache Hadoop installed.
+- <a
href="https://www.amazon.com/Learning-Apache-Apex-Real-time-applications-ebook/dp/B072LX18W5";
rel="nofollow">Learning Apache Apex Book</a> and related blog <a
href="https://medium.com/@PacktExprtNtwrk/apache-apex-in-a-nutshell-c4d5be3d5d83";
rel="nofollow">Apache Apex in a Nutshell</a> An instructional and example
driven guide on how to build Apex applications for developers and hands-on
enterprise architects. It will help identify use cases, the building blocks for
solutions and the [...]
- [Writing an Apache Apex
application](http://files.meetup.com/18978602/University%20program%20-%20Writing%20an%20Apache%20Apex%20application.pdf)
A PDF document that frames a hands-on exercise of building a basic
application; also includes a diagram illustrating the life-cycle of operators.
+- [Examples](https://github.com/apache/apex-malhar/tree/master/examples) This
is part of the source repository for Apache Apex Malhar and contains a number
of readily runnable applications that developers will find especially useful.
They include the important IO connectors as well as typical processing patterns
like a Twitter stream analyzer, computation of statistics (such as moving
averages) from a live stream of stock transactions from *Yahoo! Finance*; and
one that analyzes a synthe [...]
- <a href="http://docs.datatorrent.com/tutorials/topnwords/";
rel="nofollow">Top N Words Application Tutorial</a> This document provides a
detailed step-by-step description of how to build and run a
word counting application with Apache Apex starting with setting up your
development environment, progressing to building, running and monitoring the
application, visualizing the output and concluding with some advanced features
such as assessing operator memory requirements, partitioning, and debugging.
- <a href="http://docs.datatorrent.com/tutorials/salesdimensions/";
rel="nofollow">Sales Dimensions Application Tutorial</a> Similar to the Top N
Words application but covers
dimensional computations on a simulated sales data stream.
-- <a href="https://github.com/DataTorrent/examples"; rel="nofollow">Example
Applications</a> Sample code for specialized tutorials covering a variety of
topics such as large key-value state management (HDHT), custom partitioning
using stream codecs, etc.
-- [Malhar
Examples](https://github.com/apache/apex-malhar/tree/master/examples) This is
part of the source repository for Apache Apex Malhar and contains a number of
more substantial sample applications that developers will find especially
useful. They include an application that computes some statistics (such as
moving averages) from a live stream of stock transactions from *Yahoo!
Finance*; one that analyzes a synthetic stream of eruption event data for the
*Old Faithful* geyser; a Tw [...]
+- <a href="https://github.com/DataTorrent/examples"; rel="nofollow">More
Example Applications</a> Sample code for more IO connectors and specialized
tutorials covering a variety of topics such as large key-value state management
(HDHT), custom partitioning using stream codecs, etc.
### Presentations
- [Slideshare/ApacheApex](http://www.slideshare.net/ApacheApex/presentations)
Presentations from past meetup events and other talks covering Apache Apex
introduction, feature deep dive, integration, customer use cases and more.
- [Next Gen Decision Making in <
2ms](https://www.youtube.com/watch?v=98EW5NGM3u0) A video discussing
CapitalOne's experience with Apache Apex and evaluation of competing
technologies along with the
[slides](http://www.slideshare.net/ApacheApex/capital-ones-next-generation-decision-in-less-than-2-ms).
-- [Introducing Apache Apex](https://www.brighttalk.com/webcast/13685/190407) A
webinar that begins with the historical context for the rise of Hadoop and Big
Data, discusses why the promise of Hadoop remains largely unfulfilled and why
moving beyond Map-Reduce model is essential and why operability is critically
important. It continues with a discussion of the programming model, the various
components of a running application on a YARN cluster and the large library of
operators and conne [...]
- [Stream Processing with Apache Apex
(video)](https://www.youtube.com/watch?v=1DVMSRTNdIQ) and
[(slides)](http://www.slideshare.net/ApacheApex/hadoop-summit-sj-2016-next-gen-big-data-analytics-with-apache-apex)
A broad overview slide deck covering topics such as windowing, static and
dynamic partitioning, unification, fault tolerance, locality, monitoring, etc.
- [Fault Tolerance and Processing Semantics
(video)](https://www.youtube.com/watch?v=FCMY6Ii89Nw) and
[(slides)](http://www.slideshare.net/ApacheApexOrganizer/webinar-fault-toleranceandprocessingsemantics)
A webinar covering core Apache Apex features including checkpointing and fault
tolerance with fast, incremental recovery via a buffer server which uses a
publish-subscribe model for inter-operator data transport. A variety of failure
scenarios and processing guarantees are discussed.
- [Smart Partitioning with Apache Apex
(video)](https://www.youtube.com/watch?v=kJWMajIjGG0) and
[(slides)](http://www.slideshare.net/ApacheApex/smart-partitioning-with-apache-apex-webinar)
Webinar covering partitioning, including unique Apex features such as
elasticity with dynamic resource allocation, parallel partitions for
speculative execution and processing SLA etc.
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