[this announcement is available online at https://s.apache.org/k5W7 ]

Open Source unified programming model for batch and streaming Big Data
processing in use at Google Cloud, PayPal, and Talend, among others.

Forest Hill, MD —17 May 2017— The Apache Software Foundation (ASF), the
all-volunteer developers, stewards, and incubators of more than 350 Open
Source projects and initiatives, announced today the availability of
Apache® Beam™ v2.0.0, the first stable release of the unified
programming model for both batch and streaming Big Data processing.

An Apache Top-Level Project (TLP) since December 2016, Beam includes
Java and Python software development kits used to define data processing
pipelines and runners to execute them on Apache Apex, Apache Flink,
Apache Spark, and Google Cloud Dataflow, among other execution engines.

Apache Beam has its roots in Google's internal work on data processing
over the last decade, evolving from the initial MapReduce system,
through FlumeJava and MillWheel, into Google Cloud Dataflow v1.x, which
defined the unified programming model that became the heart of Apache
Beam.

"The first stable release is an important milestone for the Apache Beam
community," said Davor Bonaci, Vice President of Apache Beam. "This is a
statement from the community that it intends to maintain API stability
with all releases for the foreseeable future, making Beam suitable for
enterprise deployment."

Apache Beam v2.0.0 improves user experience across the project, focusing
on seamless portability across execution environments, including
engines, operating systems, on-premise clusters, cloud providers, and
data storage systems. Other highlights include:

 - API stability and future compatibility within this major version;
 - Stateful data processing paradigms that unlock efficient,
 data-dependent computations;
 - Support for user-extensible file systems, with built-in support for
 Hadoop Distributed File System, among others; and
 - A metrics subsystem for deeper insight into pipeline execution.

Apache Beam is in use at Google Cloud, PayPal, and Talend, among others.

"Apache Beam is a mature data processing API for the enterprise, with
powerful semantics that solve real-world challenges of stream
processing," said Tomer Pilossof, Big Data Manager at PayPal. "With
Beam, we provide data processing solutions for a wide range of customers
within the PayPal organization."

"We at Talend are thrilled to have contributed to Apache Beam reaching
the 2.0.0 milestone and its first official stable release," said Laurent
Bride, Chief Technology Officer at Talend. "Apache Beam is now part of
the foundation of Talend products. Recently, we released Talend Data
Preparation for Big Data which leverages Beam to create transformation
pipelines that are portable across many execution engines. Later this
year, we plan to deliver Talend Data Streams, taking the Apache Beam
integration one step further by utilizing its powerful streaming
semantics. Whether for batch, streaming, or real-time use cases, Apache
Beam is a powerful framework that delivers the flexibility and advanced
functionality our customers need."

"We congratulate the Apache Beam community for reaching the key
milestone of a first stable release," said William Vambenepe, Lead
Product Manager for Big Data, Google Cloud. "We look forward to our
Google Cloud Dataflow customers taking full advantage of Beam's powerful
programming model and newest features to run their data processing
pipelines on Google Cloud."

Apache Beam v2.0.0 is making its debut at Apache: Big Data, taking place
this week in Miami, FL, with four sessions featuring Apache Beam. Apache
Beam will also be highlighted at numerous face-to-face meetups and
conferences, including the Future of Data San Jose meetup, Strata Data
Conference London, Berlin Buzzwords, and DataWorks Summit San Jose.

"I'd like to invite everyone to try out Apache Beam v2.0.0 today and
consider joining our vibrant community," added Bonaci. "We welcome
feedback, contribution and participation through our mailing lists,
issue tracker, pull requests, and events."

Availability and Oversight
Apache Beam software is released under the Apache License v2.0 and is
overseen by a self-selected team of active contributors to the project.
A Project Management Committee (PMC) guides the Project's day-to-day
operations, including community development and product releases. For
downloads, documentation, and ways to become involved with Apache Beam,
visit https://beam.apache.org/ and https://twitter.com/ApacheBeam ‏

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350
leading Open Source projects, including Apache HTTP Server -- the
world's most popular Web server software. Through the ASF's meritocratic
process known as "The Apache Way," more than 680 individual Members and
6,000 Committers successfully collaborate to develop freely available
enterprise-grade software, benefiting millions of users worldwide:
thousands of software solutions are distributed under the Apache
License; and the community actively participates in ASF mailing lists,
mentoring initiatives, and ApacheCon, the Foundation's official user
conference, trainings, and expo. The ASF is a US 501(c)(3) charitable
organization, funded by individual donations and corporate sponsors
including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct,
Capital One, Cash Store, Cerner, Cloudera, Comcast, Confluent, Facebook,
Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma,
LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access,
Produban, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For
more information, visit http://www.apache.org/ and
https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Beam", "Apache Beam",
"Apex", "Apache Apex", "Flink", "Apache Flink", "Spark", "Apache Spark",
and "ApacheCon" are registered trademarks or trademarks of the Apache
Software Foundation in the United States and/or other countries. All
other brands and trademarks are the property of their respective owners.

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