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DataOps as a holistic approach to data management

Dataconomy

DataOps presents a holistic approach to designing, building, moving, and utilizing data within an organization. It aims to maximize the business value of data and its underlying infrastructure, both on-premises and in the cloud. However, DataOps should […].

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Is DataOps the Savior of Under-Pressure Analytics Teams?

Dataversity

DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. The number of data requests from the business keeps growing […].

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Data Operations and DataOps: Not One and the Same

Dataversity

In today’s competitive enterprise landscape, having a proper DataOps strategy in place correlates with better data intelligence and optimization within an organization – breaking down silos and enabling data democratization and better business agility at scale.

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How to Ensure Continuous Improvement With Data Governance

Alation

The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps?

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Data Governance Program: Ensuring a Successful Delivery

Alation

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

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DataOps vs. DevOps: What’s the Difference?

Alation

DataOps and DevOps are two distinctly different pursuits. But where DevOps focuses on product development, DataOps aims to reduce the time from data need to data success. At its best, DataOps shortens the cycle time for analytics and aligns with business goals. What is DataOps? What is DevOps?

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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.