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.
This post begins a new series dedicated to Apache Spark 2.4.0 features. The first covered topic will be bucket pruning.
Partitioning is the most popular method to divide a dataset into smaller parts. It's important to know that it can be completed with another technique called bucketing.
