Repository: apex-site Updated Branches: refs/heads/asf-site 90c853881 -> 3ce49df52
from 7b4ef900c113cf64c2224331bea55941b056ad84 Project: http://git-wip-us.apache.org/repos/asf/apex-site/repo Commit: http://git-wip-us.apache.org/repos/asf/apex-site/commit/3ce49df5 Tree: http://git-wip-us.apache.org/repos/asf/apex-site/tree/3ce49df5 Diff: http://git-wip-us.apache.org/repos/asf/apex-site/diff/3ce49df5 Branch: refs/heads/asf-site Commit: 3ce49df52811cce323a209d1c8aa9b94053c1216 Parents: 90c8538 Author: Thomas Weise <[email protected]> Authored: Wed Sep 28 20:05:42 2016 -0700 Committer: Thomas Weise <[email protected]> Committed: Wed Sep 28 20:05:42 2016 -0700 ---------------------------------------------------------------------- content/docs.html | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/apex-site/blob/3ce49df5/content/docs.html ---------------------------------------------------------------------- diff --git a/content/docs.html b/content/docs.html index 15a4af7..0e5e3dd 100644 --- a/content/docs.html +++ b/content/docs.html @@ -97,11 +97,10 @@ dimensional computations on a simulated sales data stream.</li> <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="http://files.meetup.com/18978602/University%20program%20-%20Writing%20an%20Apache%20Apex%20application.pdf";>Writing an Apache Apex application</a> A PDF document that frames a hands-on exercise of building a basic application; also includes a diagram illustrating the life-cycle of operators.</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=EdBiOnQn3Gw";>Apache Nifi Integration with Apex</a> video and <a href="http://www.slideshare.net/ApacheApex/integrating-ni-fiandapex-by-bryan-bende";>slide deck</a>.</li> <li><a href="https://www.brighttalk.com/webcast/13685/190407";>Introducing Apache Apex</a> 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 connectors available with Apache Apex for reading data from and writing data to external systems. Concludes with a brief description of the visualization dashboards.</li> -<li><a href="https://www.youtube.com/watch?v=1DVMSRTNdIQ";>Stream Processing with Apache Apex</a> <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="https://www.youtube.com/watch?v=FCMY6Ii89Nw";>Fault Tolerance and Processing Semantics</a> <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 guarantees are discussed.</li> -<li><a href="https://www.youtube.com/watch?v=kJWMajIjGG0";>Smart Partitioning with Apache Apex</a> <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="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="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 guarantees are discussed.</li> +<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/windowing-in-apex";>Windows in Apache Apex</a> Discusses the various flavors of windows available in Apache Apex and how to configure and use them via callbacks. Contrasts windows with micro-batches.</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>
