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 <[email protected]>
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 < 2ms</a> A video discussing CapitalOne'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 < 2ms</a> A video discussing CapitalOne'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>
--
To stop receiving notification emails like this one, please contact
[email protected].
