Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and Runners for executing them on distributed processing backends, including Apache Flink, Apache Spark, Google Cloud Dataflow, and Hazelcast Jet.
Last Releases
- Beam 2.66.0 releaseWe are happy to present the new 2.66.0 release of Beam. This release includes both improvements and new functionality. For more information on changes in 2.66.0, check out the detailed… Read more: Beam 2.66.0 release
- v2.65.0Tagging release Source: https://github.com/apache/beam/releases/tag/v2.65.0
- Beam 2.64.0 releaseWe are happy to present the new 2.64.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release. For more information on… Read more: Beam 2.64.0 release
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How to Install Apache Beam Locally
Introduction Apache Beam is a unified framework for processing both batch and streaming data, supporting multiple execution engines such as Apache Flink, Apache Spark, and Google Cloud Dataflow. Installing Apache Beam locally allows developers to test pipelines, develop new features, and work offline without relying on cloud environments. This guide walks through installing Apache Beam…