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From jamesmal...@apache.org
Subject svn commit: r1732428 - /incubator/beam/website/index.html
Date Fri, 26 Feb 2016 06:49:19 GMT
Author: jamesmalone
Date: Fri Feb 26 06:49:19 2016
New Revision: 1732428

URL: http://svn.apache.org/viewvc?rev=1732428&view=rev
Log:
Update to index.

Modified:
    incubator/beam/website/index.html

Modified: incubator/beam/website/index.html
URL: http://svn.apache.org/viewvc/incubator/beam/website/index.html?rev=1732428&r1=1732427&r2=1732428&view=diff
==============================================================================
--- incubator/beam/website/index.html (original)
+++ incubator/beam/website/index.html Fri Feb 26 06:49:19 2016
@@ -85,7 +85,8 @@
 </p>
 
 <h1 id="apache-beam-incubating">Apache Beam (incubating)</h1>
-<p>Apache Beam is an open source, unified model and set of language-specific SDKs for
defining and executing data processing workflows, and also data ingestion and integration
flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs).
Beam pipelines simplify the mechanics of large-scale batch and streaming data processing and
can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow
(a cloud service). Beam also brings DSL in different languages, allowing users to easily implement
their data integration processes.</p>
+
+<p>Apache Beam is an open source, unified model and set of language-specific SDKs for
defining data processing workflows that may then be executed on top of a set of supported
runners, currently including <a href="http://flink.apache.org">Apache Flink</a>,
<a href="http://spark.apache.org">Apache Spark</a>, and <a href="https://cloud.google.com/dataflow">Google
Cloud Dataflow</a>.</p>
 
 <h2 id="using-apache-beam">Using Apache Beam</h2>
 <p>You can use Beam for nearly any kind of data processing task, including both batch
and streaming data processing. Beam provides a unified data model that can represent any size
data set, including an unbounded or infinite data set from a continuously updating data source
such as Kafka.</p>



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