Apache Beam partitioning articles

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What would it take for you to trust your Databricks pipelines in production?

A 3-day bug hunt on a 3-person team costs up to €7,200 in lost engineering time. This workshop teaches you to prevent that — unit tests, data tests, and integration tests for PySpark and Databricks Lakeflow, including Spark Declarative Pipelines.

Unit, data & integration tests
Medallion architecture & Lakeflow SDP
Max 10 participants · production-ready templates
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Bartosz Konieczny
Bartosz
Konieczny

Data partitioning in Apache Beam

The power of Big Data processing platforms resides mainly in the ability to parallelize processing on different nodes. Each framework has its own unit of parallelism. In Spark it's called partition. Apache Beam calls it bundle.

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