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.
Often making errors helps to progress. It was my case with spark-submit and local/remote JAR pair. They helped me to understand the role of driver, closures, serialization and some configuration properties.
