Delta Lake Operations - 02: Handle Incremental Data

This module starts with an introduction to key techniques for optimizing data pipelines, including schema evolution, incremental loading, CTAS (Create Table As Select), and the MERGE INTO operation. It covers the need for efficient data processing, focusing on how schema changes, new data, and updates can be handled effectively without reprocessing entire datasets.

The module explores how incremental loading improves pipeline performance, how CTAS can store pre-aggregated results for reuse, and how MERGE INTO enables smooth updates and inserts in Delta tables, all while ensuring schema consistency and data integrity.