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 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.

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 ...

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, ...

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, ...

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 ...

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

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 ...