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From t..@apache.org
Subject [apex-site] branch asf-site updated: from 1d55ce92f19ee35302c7b7ef078077e94bd624ba
Date Wed, 16 May 2018 14:21:56 GMT
This is an automated email from the ASF dual-hosted git repository.

thw pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/apex-site.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new a3ea056  from 1d55ce92f19ee35302c7b7ef078077e94bd624ba
a3ea056 is described below

commit a3ea05660b6a481f5bb3a02d344b2a655710df78
Author: Apex Dev <dev@apex.apache.org>
AuthorDate: Wed May 16 07:21:46 2018 -0700

    from 1d55ce92f19ee35302c7b7ef078077e94bd624ba
---
 content/docs.html | 25 ++++++++++++++-----------
 1 file changed, 14 insertions(+), 11 deletions(-)

diff --git a/content/docs.html b/content/docs.html
index 3ce781a..3994dbe 100644
--- a/content/docs.html
+++ b/content/docs.html
@@ -124,23 +124,26 @@ dimensional computations on a simulated sales data stream.</li>
 </ul>
 <h3 id="presentations">Presentations</h3>
 <ul>
-<li><a href="http://www.slideshare.net/ApacheApex/presentations">Slideshare/ApacheApex</a>
Presentations from past meetup events and other talks covering Apache Apex introduction, feature
deep dive, integration, customer use cases and more.</li>
-<li><a href="https://www.youtube.com/watch?v=98EW5NGM3u0">Next Gen Decision Making
in &lt; 2ms</a> A video discussing CapitalOne&#39;s experience with Apache Apex
and evaluation of competing technologies along with the <a href="http://www.slideshare.net/ApacheApex/capital-ones-next-generation-decision-in-less-than-2-ms">slides</a>.
</li>
-<li><a href="https://www.youtube.com/watch?v=1DVMSRTNdIQ">Stream Processing with
Apache Apex (video)</a> and <a href="http://www.slideshare.net/ApacheApex/hadoop-summit-sj-2016-next-gen-big-data-analytics-with-apache-apex">(slides)</a>
A broad overview slide deck covering topics such as windowing, static and dynamic partitioning,
unification, fault tolerance, locality, monitoring, etc.</li>
+<li><a href="http://www.slideshare.net/ApacheApex/presentations">Slideshare/ApacheApex</a>
Presentations from past events covering Apache Apex introduction, feature deep dive, integration,
customer use cases and more.</li>
+<li><a href="https://www.youtube.com/watch?v=98EW5NGM3u0">Next Gen Decision Making
in &lt; 2ms</a> A video discussing CapitalOne&#39;s experience with Apache Apex
and evaluation of competing technologies along with the <a href="http://www.slideshare.net/ApacheApex/capital-ones-next-generation-decision-in-less-than-2-ms">slides</a>.</li>
+<li><a href="https://www.youtube.com/watch?v=1DVMSRTNdIQ">Stream Processing with
Apache Apex (video)</a> and <a href="http://www.slideshare.net/ApacheApex/hadoop-summit-sj-2016-next-gen-big-data-analytics-with-apache-apex">(slides)</a>
A broad overview slide deck covering topics such as windowing, static and dynamic partitioning,
fault tolerance, locality, monitoring, etc.</li>
+<li><a href="https://schd.ws/hosted_files/apachebigdata2017/5c/Stateful%20streaming%20data%20pipelines.pdf">Stateful
Streaming Data Pipelines with Apache Apex (slides)</a> An overview of state management
data structures and storage mechanism in Apache Apex.</li>
 <li><a href="https://www.youtube.com/watch?v=FCMY6Ii89Nw">Fault Tolerance and
Processing Semantics (video)</a> and <a href="http://www.slideshare.net/ApacheApexOrganizer/webinar-fault-toleranceandprocessingsemantics">(slides)</a>
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 gua [...]
 <li><a href="https://www.youtube.com/watch?v=kJWMajIjGG0">Smart Partitioning
with Apache Apex (video)</a> and <a href="http://www.slideshare.net/ApacheApex/smart-partitioning-with-apache-apex-webinar">(slides)</a>
Webinar covering partitioning, including unique Apex features such as elasticity with dynamic
resource allocation, parallel partitions for speculative execution and processing SLA etc.</li>
 <li><a href="http://www.slideshare.net/DevendraVyavahare/batch-processing-vs-real-time-data-processing-streaming">Real
Time Stream Processing Versus Batch</a> Slide deck compares and contrasts the needs,
use cases and challenges of stream processing with those of batch processing.</li>
 </ul>
 <h3 id="blogs">Blogs</h3>
 <ul>
-<li><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.</li>
-<li><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.</li>
-<li><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.</li>
-<li><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.</li>
-<li><a href="https://www.datatorrent.com/blog/end-to-end-exactly-once-with-apache-apex"
rel="nofollow"> End-to-end <em>Exactly-Once</em> with Apache Apex</a>
Details how Apache Apex can work in conjunction with transactional systems to provide <em>exactly-once</em>
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  [...]
-<li><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 <em>AdEvent</em> object to model tuples in the
data stream and analyzes the various dimensions of interest.</li>
-<li><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 (<em>pre-aggregation</em>,
<em>unification</em> and <em>storage</em>) the JSON schema to encapsulate
the various keys and aggregates, code fragments and, finally, concludes with visualization
of the results.</li>
-<li><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.</li>
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/Apache%20Apex%20(Incubating)%20Introduction%20'%20DataTorrent%20Blog.htm"
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.</li>
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/Tracing%20DAGs%20from%20Specification%20to%20Execution%20-%20DataTorrent.htm"
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.</li>
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/An%20introduction%20to%20checkpointing%20in%20Apache%20Apex%20-%20DataTorrent.htm"
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.</li>
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/End-to-end%20_Exactly-Once_%20_with%20Apache%20Apex%20-%20DataTorrent.htm"
rel="nofollow"> End-to-end <em>Exactly-Once</em> with Apache Apex</a>
Details how Apache Apex can work in conjunction with transactional systems to provide <em>exactly-once</em>
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 prov [...]
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/Dimensions%20Computation.htm"
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 <em>AdEvent</em> object to model tuples in the
data stream and analyzes the various dimensions of interest.</li>
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/Dimensions%20Computation%20(Aggregate%20Navigator)%20Part%202_%20Implementation%20-%20DataTorrent.htm"
rel="nofollow">Dimensions Computation - Part 2: Implementation</a> The second part
continues with discussion of the three phases involved (<em>pre-aggregation</em>,
<em>unification</em> and <em>storage</em>) the JSON schema to encapsulate
the various keys and aggregates, code fragments and, finally, concludes with visua [...]
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/Apache%20Apex%20Performance%20Benchmarks%20-%20DataTorrent.htm"
rel="nofollow">Apache Apex Performance Benchmarks</a> Discusses the performance suite
used to certify releases.</li>
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/Throughput%2C%20Latency%2C%20and%20Yahoo!%20Performance%20Benchmarks.%20Is%20there%20a%20winner_%20-%20DataTorrent.htm"
rel="nofollow">Throughput, Latency, And Yahoo! Performance Benchmarks. Is There A Winner?</a></li>
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/Fault-Tolerant%20File%20Processing%20-%20DataTorrent.htm"
rel="nofollow">Fault-Tolerant File Processing with Apache Apex</a></li>
+<li><a href="https://cdn.rawgit.com/dtpublic/website/b0c73294/blogs/SQL%20on%20Apache%20Apex%20-%20DataTorrent.htm"
rel="nofollow">SQL On Apache Apex</a></li>
 <li><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.</li>
 <li><a href="https://techblog.xavient.com/real-time-data-ingestion-dip-apache-apex-co-dev-opportunity">Data
Ingestion Platform  - Xavient Information Systems</a> Discusses usage of Apache Apex
in their data ingestion platform.</li>
 </ul>

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