One of the biggest analytics stumbling blocks for biomanufacturers is the need to prepare data in a way that makes it accessible to analytic systems and valuable to end users. Implementing a DataOps ...

DataOps, a relatively new concept, currently has a wide variety of definitions. However, the term DataOps (data operations) was first coined in 2014 by journalist Lenny Liebmann. He described DataOps ...

Today’s north star is the autonomous digital enterprise, characterized by three traits: business agility, customer centricity and the ability to drive decisions with actionable insights – three traits ...

STAMFORD, Conn.--(BUSINESS WIRE)-- The expanding use of AI is driving enterprise interest in data operations (DataOps) to orchestrate data integration and processing and improve data quality and ...

MapR Technologies, Inc., provider of the Converged Data Platform that integrates analytics with operational applications in real time, unveiled a DataOps-driven breakthrough approach to governance in ...

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 ...

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

The foremost benefit for DataOps is agility but, at the same time, it lowers the risk of delivering projects that no longer match the current business requirement. Making data broadly available inside ...

In today's fiercely competitive industrial landscape, enterprise leaders consistently face pivotal decisions that could either propel their organizations forward or leave them lagging in the digital ...

LONDON - DECEMBER 18: A concrete surfaced playground is shown December 18, 2002 in London. School playing fields are being sold off at a rate of almost one a week despite government assurances that ...