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 ...

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 ...

Over the past decade, the push for digital transformation has touched nearly every industry and has changed the game for BI. Now, every system and device has a digital trail, with data varying in ...

The practice focuses on collaboration and automation to speed delivery of analytics—and accelerate innovation. Produced in association withHitachi Vantara Businesses today are facing a mammoth digital ...

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 ...

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

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

A dataops team will help you get the most out of your data. Here’s how people, processes, technology, and culture bring it all together Have you noticed that most organizations are trying to do a lot ...

ISG highlights Stonebranch for accelerating data workflows, unifying automation, and scaling enterprise ops with an agile, event-driven platform.