Data Partitioning is a technique used to divide a large dataset into smaller, more manageable segments called partitions. These partitions help in improving performance, scalability, and maintenance in databases and data warehouses.

Data warehouse stores vast amounts of data. Partitioning would be essential to optimize query performance and enhance data management.

Few Key Benefits are -

• Improved Query Performance
• Better data management and maintainance
• Scalability & Storage Optimization