Accelerating Change Data Capture with apply changes in Delta Live Tables (DLT): Simplifying SCD Type 1 & 2 Implementation
Introduction: Change Data Capture (CDC) is a crucial component of modern data engineering, enabling efficient tracking and processing of data changes from source systems. Traditionally, implementing CDC required complex and error-prone merge logic. With Delta Live Tables (DLT) in Databricks, CDC can now be implemented in a declarative, scalable, and reliable manner using the apply_changes […]
Accelerating Incremental Data Ingestion with Databricks Auto Loader and Delta Live Tables
Introduction: In today’s data-driven world, enterprises handle massive amounts of continuously arriving data from various sources. Traditional batch ETL jobs, while effective, often lead to inefficiencies, delays, and operational overhead. Databricks Auto Loader and Delta Live Tables (DLT) provide a powerful solution for incremental data ingestion and pipeline automation. Auto Loader simplifies real-time and batch […]