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). Dataflow 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 i...| beam.apache.org
What Will I Cover In This Blog Post? I have three objectives in mind when writing this blog post: Documenting the work I’ve been doing during this GSoC period in collaboration with the Apache Beam community A thoughtful and cumulative thank you to my mentor and the Beam Community Writing to an older version of myself before making my first ever contribution to Beam. This can be helpful for future contributors What Was This GSoC Project About? The goal of this project is to enhance Beam’s ...| Apache Beam
The relatively new Beam YAML SDK was introduced in the spirit of making data processing easy, but it has gained little adoption for complex ML tasks and hasn’t been widely used with Managed I/O such as Kafka and Iceberg. As part of Google Summer of Code 2025, new illustrative, production-ready pipeline examples of ML use cases with Kafka and Iceberg data sources using the YAML SDK have been developed to address this adoption gap. Context The YAML SDK was introduced in Spring 2024 as Beam’...| Apache Beam
We are happy to present the new 2.68.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release. For more information on changes in 2.68.0, check out the detailed release notes. Highlights [Python] Prism runner now enabled by default for most Python pipelines using the direct runner (#34612). This may break some tests, see https://github.com/apache/beam/pull/34612 for details on how to handle issues. I/Os Upgraded Iceberg dependenc...| Apache Beam
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). Dataflow 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 i...| beam.apache.org
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). Dataflow 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 i...| beam.apache.org
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). Dataflow 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 i...| beam.apache.org
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). Dataflow 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 i...| beam.apache.org
Introduction: The Spark of an Idea In 2025, I had the opportunity to participate in the Beam College Hackathon, a fantastic event that brings together students and professionals to explore the power of Apache Beam. For my project, I built Anomaflow, an anomaly detection pipeline using Apache Beam and Google Cloud Dataflow. It was my first public hackathon, and the experience was both rewarding and creatively energizing. I’m proud to share that Anomaflow earned 3rd place in the competition. ...| Apache Beam
We are happy to present the new 2.65.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release. For more information on changes in 2.65.0, check out the detailed release notes. Highlights I/Os Upgraded GoogleAdsAPI to v19 for GoogleAdsIO (Java) (#34497). Changed PTransform method from version-specified (v17()) to current() for better backward compatibility in the future. Added support for writing to Pubsub with ordering keys (Java...| Apache Beam
We 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 changes in 2.64.0, check out the detailed release notes. Highlights Managed API for Java and Python supports key I/O connectors Iceberg, Kafka, and BigQuery. I/Os [Java] Use API compatible with both com.google.cloud.bigdataoss:util 2.x and 3.x in BatchLoads (#34105) [IcebergIO] Added new CDC source for batch and ...| Apache Beam