Spark streaming fault tolerance 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

Spark Streaming checkpointing and Write Ahead Logs

Checkpoint allows Spark to truncate dependencies on previously computed RDDs. In the case of streams processing their role is extended. In additional, they're not a single method to prevent against failures.

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