What is Data Partitioning in DB2 and How Does It Improve Performance?

Data partitioning in DB2 is a technique used to divide large tables or indexes into smaller, more manageable partitions based on specific criteria such as range, list, or hash partitioning. Each partition contains a subset of the data, allowing for parallel processing and improved query performance by reducing the amount of data that needs to be scanned.

By partitioning data in DB2, queries can be executed in parallel across multiple partitions, leading to faster response times. Additionally, data partitioning facilitates better data distribution and optimization of storage resources, as each partition can be independently managed and accessed.

In summary, data partitioning in DB2 enhances performance by:

• Enabling parallel processing of queries
• Reducing data scanning operations
• Optimizing resource utilization

Overall, data partitioning in DB2 is a valuable tool for improving query performance and optimizing data management in large databases.