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DataOps, or an approach to quickly deliver data and accelerate deployment of analytics solutions, can be a key driver in accelerating data analytics democratization. Though ideal, it's not without ...

In this special guest feature, Itamar Ben Hemo, CEO of Rivery, discusses commonalities and differences between DevOps and DataOps. Rivery is a DataOps platform that streamlines data integration, ...

While the promise of DataOps seems strong, it’s important to understand how the two concepts are the same and how they are different. For example, DataOps isn’t just DevOps applied to data analytics.

DevOps has changed the game for how developers build, deploy, update and monitor applications across their network. Now, an eponymous startup called DataOps.live — which has built a DataOps platform ...

Every business must either become a data business or face potentially going out of business. When data goes to work, organizations can maximize productivity and profits. Data mitigates the guesswork ...

DataOps, an adaptation of what’s traditionally known as DevOps, has evolved into an essential component of modern business operations. DataOps applies the concepts that have fostered more agility and ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. This article is more than 3 years old. LONDON - DECEMBER 18 ...

Enterprises‌ ‌have‌ ‌struggled‌ ‌to‌ ‌collaborate‌ ‌well ‌around‌ ‌their‌ ‌data, which hinders their ability to adopt‌ ‌transformative‌ ‌applications‌ ‌like‌ ‌AI.‌ ‌ ‌The‌ ‌evolution‌ ‌of ...

DataOps is a viable approach that combines data engineering into operations processes. It aims to promote data management practices and procedures that improve the speed and accuracy of analytics.

Because building reliable data pipelines is hard, and the first step to becoming a data-driven organization is trusting your data. It’s 8 a.m., and a business leader is looking at a financial ...