A 3-day bug hunt on a 3-person team costs up to β¬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.
The use of Dataset abstraction is not a single difference between structured and unstructured data processing in Spark. Apart of that, Spark SQL uses a technique helping to get results faster.
Even if Project Tungsten was started in Spark 1.5 and Spark's current version is 2.1 at the time of writing, it's good to know what precious this Project brought to Spark.
One of powerful features of Spark SQL is dynamic generation of code. Several different layers are generated and this post explains some of them.
