According to Databricks, Expectations “help prevent bad data from flowing into tables, track data quality over time, and provide tools to troubleshoot bad data with granular pipeline observability so ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.