Databricks Lakeflow CDC Pipelines Explained | Building SCD2 Pipelines with the Editor скачать в хорошем качестве

Databricks Lakeflow CDC Pipelines Explained | Building SCD2 Pipelines with the Editor

📚 Start the course here: 1️⃣ Lakeflow Architecture    • Databricks Lakeflow Explained (2026) | Arc...   2️⃣ Lakeflow Connect    • 1️⃣ Lakeflow Connect Explained (2026) | Da...   Change Data Capture (CDC) is a critical capability for building incremental data pipelines. In this video we explore how the Lakeflow Pipelines Editor supports CDC pipelines and Slowly Changing Dimensions (SCD). You will learn how Databricks automatically handles: • Change Data Capture pipelines • Event sequencing • Record versioning • SCD Type 2 tables • Incremental updates Using the Lakeflow editor we demonstrate how CDC pipelines are defined and managed within the Databricks Lakehouse platform. Topics covered What is CDC in data engineering Why CDC pipelines are important How Lakeflow handles CDC Implementing SCD Type 2 pipelines Exploring CDC pipelines inside the Lakeflow editor This video is part of the Databricks Lakeflow Masterclass (2026 Edition). ▶ Previous Episode Databricks Lakeflow Pipelines Editor Demo | End-to-End Pipeline Walkthrough    • Databricks Lakeflow Pipelines Editor Demo ...   ▶ Next Episode Build Your First Lakeflow Pipeline (Step-by-Step) | Databricks Pipeline Editor Tutorial    • Build Your First Lakeflow Pipeline (Step-b...   #Databricks #Lakeflow #CDC #DataEngineering #DeltaLake