Data Partitioning is the process of dividing a large dataset into smaller, more manageable pieces called partitions. Each partition contains a subset of the data, making it easier to store, process, and query. Partitioning is commonly used in databases, data lakes, and distributed systems to improve performance, scalability, and manageability.