data velocity

Data velocity is the speed at which data is generated and processed. It is crucial for real-time analytics and applications that require rapid data handling.

What are the challenges of data quality management in Big Data projects?

Data quality management in Big Data projects face challenges such as data volume, variety, velocity, veracity, and data integration. Ensuring the quality of data in such projects is crucial for accurate analysis and decision-making. Challenges include data validation, data cleansing, data integration, data privacy and security, and data governance.

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