The Ravit Show – How to Scale DataOps within The Modern Data Stack with Databand
Wondering about How to Scale DataOps within The Modern Data Stack?
Ask questions to Ryan Yackel and Josh Benamram about the below topics. In this discussion you’ll learn more about:
- Scaling DataOps processes
- Data Governance and much more
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DataOps, short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization.
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.