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

The challenge of not yet knowing how to integrate their enterprise-scale data platforms is one that many organisations are now dealing with. Their failure to make their operations data-driven hinders ...

Ashish Thusoo and Joydeep Sen Sarma know a thing or two about big data. They led the team that built Facebook's data infrastructure, and they are also the co-authors of the Apache Hive project and ...

What is DataOps? DataOps (data operations) is a new approach to data management which brings together data workers — the individuals who collect, clean and prepare data — with data analysts to help ...

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, ...

Today’s organisations are committed to collecting and analysing as much data as possible from sources new, old, and evolving. But they continue to have variable levels of success distilling 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 ...

Embracing DataOps can help organizations eliminate data silos and thereby gain the holistic view of data they need to improve the customer experience. Silos appear on farms, but they also appear in ...

While DataOps is a relatively new term, more and more people in the data industry are discussing it. From recent conversations with business analysts, to customers, to partners, there seems to be a ...