DataOps, short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization.
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Data testing involves the verification and validation of datasets to confirm they adhere to specific requirements.
Data quality monitoring refers to the assessment, measurement, and management of an organization's data in terms of accuracy, consistency, and reliability.
A data quality strategy details the processes, tools, and techniques employed to ensure your company's data is accurate, consistent, complete, and up-to-date.