Data deduplication

Data deduplication is the process of identifying and removing duplicate records or data entries from a database, dataset, or storage system. It helps in reducing storage space requirements, improving data accuracy, and optimizing data processing efficiency. By eliminating redundant data, organizations can ensure data consistency, minimize data errors, and enhance the overall quality and reliability of their data. Data deduplication is an essential practice in modern data management, particularly in scenarios where data is collected from multiple sources or when dealing with large datasets, preventing unnecessary data duplication and streamlining data operations.

‍