Apache Beam lets you build and run large-scale data pipelines for batch and streaming processing across multiple platforms using one unified programming model.
Apache Beam is an open source platform that helps you design, build, and execute data processing workflows. Whether you’re working with batch or streaming data, Beam provides a unified programming model so you can handle data from various sources, both on-premises and in the cloud.
With Beam, you get language-specific SDKs, making it easy to write pipelines in your preferred language. You can run these pipelines on different processing engines like Apache Flink, Apache Spark, or Google Cloud Dataflow, giving you flexibility and scalability for your data projects.
If you’re looking to simplify complex data integration, ingestion, and transformation tasks, Beam offers the tools and connectors you need. It’s a great fit for developers and data engineers who want a consistent approach to processing big data across different environments.
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