Explain how Change Data Feed (CDF) addresses past difficulties in propagating updates and deletes within Lakehouse architecture. Provide a detailed scenario where CDF is essential for maintaining data integrity and consistency.

Simulated

CDF primarily improves data retrieval speed without affecting update and delete operations.

1.0%

CDF simplifies data storage management by automatically handling data versioning.

4.1%

CDF captures changes at the row level, enabling precise tracking and application of updates and deletes across various data processing stages.

92.8%

CDF focuses on enhancing data security by restricting access to change logs.

2.1%

Databricks Certified Data Engineer - Professional