data veracity

Data veracity refers to the accuracy and trustworthiness of data. It involves ensuring that data is reliable and represents reality accurately.

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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