Delta Lake 101 Part 4: Schema evolution and enforcement

If you're looking to implement lakehouse solutions in Microsoft Fabric, Databricks or other tools that work with Delta Lake, it's essential to understand schema enforcement and schema evolution. In this post, the author delves into the details of both concepts, their importance, and how they apply to Delta Lake.

Schema enforcement refers to the process of ensuring that data written to a Delta Lake table meets the predefined schema requirements. This is essential to maintain data integrity and ensure consistency. On the other hand, schema evolution relates to the ability to alter the schema of an existing Delta Lake table without affecting existing data. This allows businesses to adapt their data models to changing needs without the need to migrate data manually.

By understanding schema evolution and enforcement, you can take advantage of the full capabilities of Delta Lake and implement effective lakehouse solutions. So whether you're a data engineer, analyst, or scientist, this post equips you with the knowledge and tools you need to succeed.

This post can be read at: https://pl.seequality.net/delta-lake-101-part-4-schema-evolution-and-enforcement/