Lokesh is the Co-founder and CEO of Sigmoid, a leading data solutions company. He is a visionary and thought-leader in the industry. From delivering personalized customer experiences and optimizing ...

As organizations continue their digital transformation, the demand for timely, consumption-ready data has never been higher. Yet simply adopting data operations tools is not enough to improve data ...

“Every company is a data company,” Keith Alsheimer, head of marketing, Unravel Data during his Data Summit 2022 presentation. Alsheimer and Chris Santiago, VP solutions engineering, Unravel Data, ...

Today, most data and analytics leaders recognize that DataOps provides the foundation for analytics excellence. Yet most struggle to get their DataOps program off the ground. This is because 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 ...

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, ...

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.

At the Hitachi Next conference, the company released its Hitachi Virtual Storage Platform (VSP) 5000 (formerly known as project Jupiter), shown below, capable of 21 M input output operations per ...

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

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 ...