Deletion Vectors | Getting Started with Delta Lake

Discover how deletion vectors optimize Delta Lake performance and streamline data management. Youssef Mrini, Databricks Solution Architect, explains how this feature accelerates delete, update, and merge operations by marking rows logically instead of rewriting entire files. Follow along in Databricks Free Edition as Youssef demonstrates real merge performance tests and highlights how deletion vectors support Change Data Capture (CDC) and streaming workloads. 💡 Topics Covered: - What deletion vectors are and how they work - Merge-on-read performance improvements - How to enable deletion vectors in Python and SQL - When to use deletion vectors for large datasets 📘 Check out the documentation for more: https://delta-docs-incubator.netlify.app/delta-deletion-vectors/ ✅ Subscribe for more Delta Lake tutorials.