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But those end users werent always clear on which data they should use for which reports, as the data definitions were often unclear or conflicting. Business glossaries and early best practices for datagovernance and stewardship began to emerge. Then came Big Data and Hadoop! A data lake!
Solutions for managing and processing large volumes of dataData engineers can use various solutions to manage and process large volumes of data. This approach allows for faster and more efficient processing of large volumes of data.
We already know that a data quality framework is basically a set of processes for validating, cleaning, transforming, and monitoring data. DataGovernanceDatagovernance is the foundation of any data quality framework. If any of these is missing, the client data is considered incomplete.
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