Partitioning
Partitioning is a database and data management technique that divides large datasets into smaller, more manageable subsets called partitions, typically based on criteria like ranges, lists, or hash values. It improves performance by enabling parallel processing, reducing query times, and optimizing storage, while also enhancing scalability and maintainability in systems handling massive data volumes.
Developers should learn partitioning when building or managing high-traffic applications, data warehouses, or big data systems where performance and scalability are critical, such as in e-commerce platforms, financial services, or IoT analytics. It is essential for optimizing queries on large tables, distributing load across servers, and implementing data lifecycle policies like archiving old data efficiently.