data quality assurance

Data quality assurance involves processes and practices to ensure that data meets quality standards. It includes validation, verification, and regular reviews.

What are the challenges of data governance in multinational Big Data projects?

Data governance in multinational Big Data projects poses several challenges, including data privacy and compliance issues, cross-border data transfer complexities, language and cultural barriers, and data quality assurance. These challenges require robust governance frameworks, strong coordination among stakeholders, and advanced technologies to effectively manage and govern data in a global context.

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