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 ...

It’s no secret that companies are struggling with digital transformation. Companies know they need to innovate to win, yet 72% of executives feel they are being out-innovated by their competitors, ...

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 ...

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 ...

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 ...

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.

Digitalization requires data aggregation, standardization, and contextualization at scale. I believe the missing link to industrial transformation is a codeless solution that can aggregate, ...

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 ...

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 ...