Data Partitioning
Data partitioning is the process of dividing a large dataset into smaller, more manageable segments, known as partitions. This technique helps improve performance and efficiency in data processing and storage. By organizing data into partitions, systems can access and analyze information more quickly, as they only need to work with a specific subset rather than the entire dataset.
There are various methods of data partitioning, including horizontal partitioning, where rows are divided, and vertical partitioning, where columns are separated. This approach is commonly used in databases and big data frameworks, allowing for better resource utilization and easier data management.