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| A unified programming model for batch and streaming |
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| Beam provides an advanced unified programming model, allowing you to implement batch and streaming data processing jobs that you can run on any execution engine. |
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| Use a single programming model for both batch and streaming use cases. |
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| Execute pipelines on multiple execution environments, including Apache Flink, Apache Spark, and Google Cloud Dataflow. |
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| Write and share new SDKs, IO connectors, and transformation libraries. |
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| Beam is an <a href="http://www.apache.org">Apache Software Foundation</a> project, |
| available under the Apache v2 license. Beam is an open source community - contributions are appreciated! If you'd like to contribute, please see the <a href="{{ site.baseurl }}/contribute/">Contribute</a> section. |
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| Apache Beam is a unified programming model you can use to create data processing pipelines. You start by building a program that defines the pipeline using one of the open source Beam SDKs. The pipeline is then executed by one of Beam’s supported distributed processing back-ends, which include Apache Flink, Apache Spark, and Google Cloud Dataflow. |
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| If you'd like to use Beam for your data processing tasks, use the <a href="{{ site.baseurl }}/get-started/">Get Started</a> section for an overview, quickstart, and examples. Then dive into the <a href="{{ site.baseurl }}/documentation/">Documentation</a> section for in-depth concepts and reference materials for the Beam Model, SDKs, and Runners. |
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