Data partitioning

Data partitioning is the process of dividing a large dataset into smaller, manageable segments called partitions. This helps organize data more efficiently, improves performance, and makes it easier to access or analyze specific portions. For example, a company might split customer data by region or time period, so different teams can focus on relevant segments. Partitioning also enhances system scalability and can improve speed and reliability by isolating issues within specific partitions without affecting the entire dataset.