YouTube video by Analytic Mind Clips

In the previous blog of this series, we explored how modern data platforms use columnar file formats like Apache Parquet to store data efficiently and enable faster analytics.   While Parquet significantly improves performance and storage efficiency, it still has limitations when it comes to managing data changes, maintaining data consistency, and handling concurrent operations.   To solve these challenges, modern platforms introduced Delta Tables.   In this blog, we will explore what Delta Tables are, why they were created, and how they improve reliability in modern data platforms such as Microsoft Fabric and Databricks.