Data Partitioning: A Comprehensive Survey of Strategies, Challenges, and Future Directions in Distributed Data Management
Abstract Data partitioning is a cornerstone of modern data management systems, enabling scalability, performance, and manageability for large datasets. This report provides a comprehensive survey of data partitioning techniques, encompassing horizontal and vertical partitioning, sharding, […]
