This article explores the importance of data lineage, which tracks the flow and transformations of data from source to destination, playing a vital role in ensuring data integrity and transparency in data processes.

In this blog, we explore how to ensure data quality in a Spark Scala ETL (Extract, Transform, Load) job. To achieve this, we leverage Deequ, an open-source library, to define and enforce various data quality checks..