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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 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 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 in different languages, allowing users to easily implement their data integration processes.

Downloads Docs 2.2 2.1 1.7 main Project Code of conduct Collaboration with Kubernetes SIG-Node Contributing Roadmap S...

Learn about different types of AI agents in VS Code, including local agents, Copilot CLI for running in the background, and cloud agents.

Learn how to use the plan agent for autonomous planning and task management with the todo list in VS Code chat.

Downloads Docs 2.2 2.1 1.7 main Project Code of conduct Collaboration with Kubernetes SIG-Node Contributing Roadmap S...

Uninstall Visual Studio Code and clean up.

Learn about the different types of tools that extend AI agents in VS Code, including built-in tools, MCP servers, and extension tools.

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 in different languages, allowing users to easily implement their data integration processes.