Introduction

Data partitioning refers to the act of splitting a large database or dataset into smaller, more manageable parts called partitions. It is an important concept in designing large-scale distributed systems that need to handle tremendous amounts of data and traffic.

In this article, we will look at why data partitioning matters, different partitioning strategies, real-world examples, tools to manage partitions, and some best practices when implementing partitioning in a systems design. Understanding partitioning techniques can help software architects and engineers build more scalable, performant, and fault-tolerant systems.