Data quality management involves maintaining and improving the accuracy, consistency, and reliability of data. It includes processes to monitor and enhance data quality.
Data quality management in Big Data projects face challenges such as data volume, variety, velocity, veracity, and data integration. Ensuring…
Data quality management is crucial for the success of big data projects. The best practices for ensuring high data quality…