Apache Spark Structured Streaming execution articles

4-day workshop Β· In-person or online

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 β€” 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 Β· production-ready templates
See the full curriculum β†’ €7,000 flat fee Β· cohort of up to 10
Bartosz Konieczny
Bartosz
Konieczny

Continuous execution in Apache Spark Structured Streaming

During the years Apache Spark's streaming was perceived as working with micro-batches. However, the release 2.3.0 tries to change this and proposes a new execution model called continuous. Even though it's still in experimental status, it's worthy to learn more about it.

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