#8 Partitioning and Sharding in Distributed Systems

In this video, we dive into partitioning and sharding, two essential techniques used in distributed systems to enhance scalability and performance. Partitioning involves dividing a database into smaller, more manageable pieces (partitions) to improve query performance and storage. Sharding is a type of partitioning, where data is distributed across multiple servers or nodes to handle large datasets and increase system capacity. We will explain the difference between the two, along with their use cases and benefits in handling large-scale applications. Popular databases like MongoDB and Cassandra use sharding to ensure scalability and high availability.

Видео #8 Partitioning and Sharding in Distributed Systems канала Web Journey with Kashish