By Chris Kalima | January 18, 2022
Data operations (DataOps) is a data management methodology that improves an organization’s efficiency and profitability by applying agile techniques to the workflows that derive business value from data. It leverages a combination of processes and technologies to reduce data friction, improve business agility, and increase security, integrity, and reliability throughout the data pipeline. However, to achieve increased productivity, a DataOps system has to ensure that the data is governed throughout its life cycle as it moves through increasingly complex pipelines and analytics workflows.
Data governance is another data management concept that focuses on the necessary people, processes, and technologies to ensure the availability, usability, integrity, and security of enterprise data, based on internal data standards and policies. Effective data governance ensures that data is consistent, trustworthy, and appropriately used by data consumers.
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