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From rama...@apache.org
Subject incubator-apex-site git commit: Fix linebreaks
Date Tue, 29 Mar 2016 15:44:17 GMT
Repository: incubator-apex-site
Updated Branches:
  refs/heads/master 4bd648e52 -> f01175ba2


Fix linebreaks


Project: http://git-wip-us.apache.org/repos/asf/incubator-apex-site/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-apex-site/commit/f01175ba
Tree: http://git-wip-us.apache.org/repos/asf/incubator-apex-site/tree/f01175ba
Diff: http://git-wip-us.apache.org/repos/asf/incubator-apex-site/diff/f01175ba

Branch: refs/heads/master
Commit: f01175ba224b3eca19ef77da6ad8dba8a4f9dc6b
Parents: 4bd648e
Author: Munagala V. Ramanath <ram@datatorrent.com>
Authored: Tue Mar 29 08:38:28 2016 -0700
Committer: Munagala V. Ramanath <ram@datatorrent.com>
Committed: Tue Mar 29 08:38:28 2016 -0700

----------------------------------------------------------------------
 src/md/docs.md | 137 +++++++++++++++++++++-------------------------------
 1 file changed, 54 insertions(+), 83 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-apex-site/blob/f01175ba/src/md/docs.md
----------------------------------------------------------------------
diff --git a/src/md/docs.md b/src/md/docs.md
index 7a93ad5..a7f4a39 100644
--- a/src/md/docs.md
+++ b/src/md/docs.md
@@ -3,46 +3,37 @@
 - [Primary documentation](/docs/apex/) for Apache Apex including overviews of the product,
 security, application development, operators and the commandline tool.
 
-- [Apache Apex Malhar Documentation](/docs/malhar/) for the  operator library
-including a diagrammatic taxonomy and some in-depth tutorials for selected operators
-(such as Kafka Input).
+- [Apache Apex Malhar Documentation](/docs/malhar/) for the  operator library including a
+diagrammatic taxonomy and some in-depth tutorials for selected operators (such as Kafka Input).
 
-- <a href="https://www.datatorrent.com/docs/apidocs/" rel="nofollow">Java API
-documentation</a> for both the platform and the operator library.
+- <a href="https://www.datatorrent.com/docs/apidocs/" rel="nofollow">Java API documentation</a>
+for both the platform and the operator library.
 
 The following sections provide links to additional informative material such as
 presentations, videos and blogs.
 
 ### Writing Apache Apex Applications
 
-- [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
+- [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="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>
-A `git` repository with sample code for specialized tutorials covering a
+- <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>
A `git` repository with sample code for specialized tutorials covering a
 variety of topics such as a high-performance key-value store (HDHT), custom
 partitioning using stream codecs, etc.
 
-- [Malhar Demos](https://github.com/apache/incubator-apex-malhar/tree/master/demos)
-This is part of the source repository for Apache Apex Malhar and contains a number
+- [Malhar Demos](https://github.com/apache/incubator-apex-malhar/tree/master/demos) 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
@@ -56,16 +47,13 @@ detector.
 frames a hands-on exercise of building a basic application; also includes a diagram
 illustrating the life-cycle of operators.
 
-- [Capital One Meetup](https://www.youtube.com/watch?v=KkjhyBLupvs)
-A pair of videos: The first by Capital One discussing their experience
+- [Capital One Meetup](https://www.youtube.com/watch?v=KkjhyBLupvs) A pair of videos: The
first by Capital One discussing their experience
 with Apache Apex and evaluation of competing technologies and the second covering
 integration of Apache Nifi and Apache Apex.
 
-- [Next Gen Decision Making in < 2ms](http://www.slideshare.net/ApacheApex/capital-ones-next-generation-decision-in-less-than-2-ms)
and
-  [Nifi Integration with Apex](http://www.slideshare.net/ApacheApex/integrating-ni-fiandapex-by-bryan-bende)
Slide decks that go with the above videos.
+- [Next Gen Decision Making in < 2ms](http://www.slideshare.net/ApacheApex/capital-ones-next-generation-decision-in-less-than-2-ms)
and [Nifi Integration with Apex](http://www.slideshare.net/ApacheApex/integrating-ni-fiandapex-by-bryan-bende)
Slide decks that go with the above videos.
 
-- [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,
+- [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
@@ -76,76 +64,59 @@ a brief description of the visualization dashboards.
 - [Stream Processing with Apache Apex](http://www.slideshare.net/PramodImmaneni/meetup-59089806)
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](https://www.brighttalk.com/webcast/13685/194115)
-A webinar and associated [slides](http://www.slideshare.net/ApacheApexOrganizer/webinar-fault-toleranceandprocessingsemantics)
-covering core Apache Apex features including checkpointing and fault tolerance with fast,
+- [Fault Tolerance and Processing Semantics](https://www.brighttalk.com/webcast/13685/194115)
A webinar and associated
+[slides](http://www.slideshare.net/ApacheApexOrganizer/webinar-fault-toleranceandprocessingsemantics)
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.
 
-- [Windows in Apache Apex](http://www.slideshare.net/DevendraVyavahare/windowing-in-apex)
-Discusses the various flavors of windows available in Apache Apex and how to configure and
+- [Windows in Apache Apex](http://www.slideshare.net/DevendraVyavahare/windowing-in-apex)
Discusses the various flavors of windows available in Apache Apex and how to configure and
 use them via callbacks. Contrasts windows with micro-batches.
 
-- [Real Time Stream Processing Versus Batch](http://www.slideshare.net/DevendraVyavahare/batch-processing-vs-real-time-data-processing-streaming)
-Slide deck compares and contrasts the needs, use cases and challenges of stream processing
+- [Real Time Stream Processing Versus Batch](http://www.slideshare.net/DevendraVyavahare/batch-processing-vs-real-time-data-processing-streaming)
Slide deck compares and contrasts the needs, use cases and challenges of stream processing
 with those of batch processing.
 
 ### Blogs
 
-- <a href="https://www.datatorrent.com/blog/introducing-apache-apex-incubating/" rel="nofollow">
-Introducing Apache Apex</a>
-Introduces Apache Apex and discusses how it addresses the current challenges of Big Data
-in the areas of code reuse, operability, ease of use and the benefits of a YARN-native
-solution.
+- <a href="https://www.datatorrent.com/blog/introducing-apache-apex-incubating/" rel="nofollow">Introducing
Apache Apex</a> Introduces Apache Apex and discusses how it addresses the current
+challenges of Big Data in the areas of code reuse, operability, ease of use and the benefits
+of a YARN-native solution.
 
-- <a href="https://www.datatorrent.com/blog/tracing-dags-from-specification-to-execution/"
rel="nofollow">
-Tracing DAGs from Specification to Execution</a>
-Discusses DAGs (Directed Acyclic Graphs) as an application model, how they can be specified
+- <a href="https://www.datatorrent.com/blog/tracing-dags-from-specification-to-execution/"
rel="nofollow">Tracing DAGs from Specification to Execution</a> Discusses DAGs (Directed
+Acyclic Graphs) as an application model, how they can be specified
 in Java or via JSON, how the platform transforms them to physical plans for scaling and
 how they can be monitored via the REST API.
 
-- <a href="https://www.datatorrent.com/blog/blog-introduction-to-checkpoint/" rel="nofollow">
-An Introduction to Checkpointing in Apache Apex</a>
-Discusses checkpointing by saving serializing operator state to HDFS and how to configure
-the frequency of checkpointing (or skip it altogether) via attributes or annotations.
-
-- <a href="https://www.datatorrent.com/blog/blog-operability-the-graveyard-of-big-data-projects"
rel="nofollow">
-Operability — The Graveyard of Big Data Projects</a>
-Argues that operability is a critical aspect of Big Data projects which implementors
-ignore at their peril. Features of Apache Apex that solve operability issues are discussed
-broadly.
-
-- <a href="https://www.datatorrent.com/blog/end-to-end-exactly-once-with-apache-apex"
rel="nofollow">
-End-to-end _Exactly-Once_ with Apache Apex</a>
-Details how Apache Apex can work in conjunction with transactional systems to provide
-_exactly-once_ semantics. A simple example of reading data from a Kafka topic and writing
-processed results to a SQL database is discussed along with the relevant operators
-(already provided in the Apex Malhar library) and the importance of idempotency.
-
-- <a href="https://www.datatorrent.com/blog/blog-dimensions-computation-aggregate-navigator-part-1-intro/"
rel="nofollow">
-Dimensions Computation - Part 1: Introduction</a>
-A two-part blog that discusses dimensions computation in Apache Apex in considerable
-detail. The first part introduces the domain, shows an **AdEvent** object to model
-tuples in the data stream and analyzes the various dimensions of interest.
-
-- <a href="https://www.datatorrent.com/blog/dimensions-computation-aggregate-navigator-part-2-implementation/"
rel="nofollow">
-Dimensions Computation - Part 2: Implementation</a>
-The second part continues with discussion of the three phases involved (_pre-aggregation_,
+- <a href="https://www.datatorrent.com/blog/blog-introduction-to-checkpoint/" rel="nofollow">An
Introduction to Checkpointing in Apache Apex</a> Discusses checkpointing by saving serializing
+operator state to HDFS and how to configure the frequency of checkpointing (or skip it
+altogether) via attributes or annotations.
+
+- <a href="https://www.datatorrent.com/blog/blog-operability-the-graveyard-of-big-data-projects"
rel="nofollow">Operability — The Graveyard of Big Data Projects</a> Argues that
operability
+is a critical aspect of Big Data projects which implementors ignore at their peril. Features
+of Apache Apex that solve operability issues are discussed broadly.
+
+- <a href="https://www.datatorrent.com/blog/end-to-end-exactly-once-with-apache-apex"
rel="nofollow"> End-to-end _Exactly-Once_ with Apache Apex</a> Details how Apache
Apex can work in
+conjunction with transactional systems to provide _exactly-once_ semantics. A simple example
+of reading data from a Kafka topic and writing processed results to a SQL database is discussed
+along with the relevant operators (already provided in the Apex Malhar library) and the
+importance of idempotency.
+
+- <a href="https://www.datatorrent.com/blog/blog-dimensions-computation-aggregate-navigator-part-1-intro/"
rel="nofollow">Dimensions Computation - Part 1: Introduction</a> A two-part blog
+that discusses dimensions computation in Apache Apex in considerable detail. The first part
+introduces the domain, shows an **AdEvent** object to model tuples in the data stream and
+analyzes the various dimensions of interest.
+
+- <a href="https://www.datatorrent.com/blog/dimensions-computation-aggregate-navigator-part-2-implementation/"
rel="nofollow">Dimensions Computation - Part 2: Implementation</a> The second
+part continues with discussion of the three phases involved (_pre-aggregation_,
 _unification_ and _storage_) the JSON schema to encapsulate the various keys and
 aggregates, code fragments and, finally, concludes with visualization of the results.
 
-- <a href="https://www.datatorrent.com/blog/blog-apex-performance-benchmark" rel="nofollow">
-Apache Apex Performance Benchmarks</a>
-Discusses the performance suite used to certify releases.
+- <a href="https://www.datatorrent.com/blog/blog-apex-performance-benchmark" rel="nofollow">Apache
Apex Performance Benchmarks</a> Discusses the performance suite used to certify releases.
 
-- <a href="https://blogs.apache.org/foundation/entry/celebrating_17_years_of_the">
-Apache Software Foundation</a>
-Discusses the history of the foundation, guiding principles, current statistics and
-provides numerous additional links for details of how the foundation operates and is
-managed.
+- <a href="https://blogs.apache.org/foundation/entry/celebrating_17_years_of_the">Apache
Software Foundation</a> Discusses the history of the foundation, guiding principles,
current
+statistics and provides numerous additional links for details of how the foundation operates
+and is managed.
 
 ### Trouble Shooting
 
-- <a href="http://docs.datatorrent.com/troubleshooting/" rel="nofollow">
-Troubleshooting Guide</a>
+- <a href="http://docs.datatorrent.com/troubleshooting/" rel="nofollow">Troubleshooting
Guide</a>


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