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Subject [18/27] incubator-beam-site git commit: Edit to index page
Date Mon, 07 Mar 2016 10:42:09 GMT
Edit to index page


Branch: refs/heads/asf-site
Commit: f865e095aa50578395f317f9a9ab55fabeecc60f
Parents: 332faae
Author: James Malone <>
Authored: Fri Feb 26 08:05:52 2016 -0800
Committer: James Malone <>
Committed: Fri Feb 26 08:05:52 2016 -0800

---------------------------------------------------------------------- | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/ b/
index f6cc8c8..14ece75 100644
--- a/
+++ b/
@@ -10,7 +10,8 @@ layout: default
 # Apache Beam (incubating)
-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.
+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 [Apache Flink](, [Apache Spark](,
and [Google Cloud Dataflow](
 ## Using Apache Beam
 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.

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