Unlocking Performance: Optimize, Vacuum, and Z-Ordering in Databricks’ Delta Tables

Delta Lake is a powerful storage layer that brings ACID transactions to Apache Spark and big data workloads. Delta Lake not only enhances reliability but also introduces various optimization techniques that can significantly boost performance and streamline data workflows. In this article, we will delve deeper into the inner workings of Delta Lake, shedding light on the mechanics that drive its functionality. Furthermore, we will explore a selection of common optimization techniques applicable to Delta tables within the Databricks environment. Without further ado, let’s dive right in and begin our exploration. <a href="https://medium.com/@amarkrgupta96/unlocking-performance-optimize-vacuum-and-z-ordering-in-databricks-delta-tables-6ce20999f6f5">Click Here</a>