Apache Beam PCollection 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

PCollection - data representation in Apache Beam

One of the problems with data processing frameworks released in the past few years was the use of different abstractions for batch and streaming tasks. Apache Beam is an exception of this rule because it proposes a uniform data representation called PCollection.

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