DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the ...

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 ...

Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights. Measuring quality of any kind ...

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 ...

It’s sad but true, most attempts by companies to leverage data as a strategic asset fail. The challenge of both managing vast amounts of disparate data and then distributing it to those who can use it ...

IDC defines DataOps as “a practice that enhances collaboration between data consumers and data creators — either of which can be humans or machines.” Built on the theory of DevOps, DataOps goes much ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--DataKitchen, the industry’s leading DataOps solution provider, today announced the launch of a new DataOps Training and Certification program. The first-of-its-kind ...

Semarchy is releasing the Semarchy Data Platform (SDP), a unified, converged data management, governance, and integration solution that leverages DataOps scalability to deliver comprehensive, trusted ...