Lately, we've seen many "x-Ops" management practices appear on the scene, all derivatives from DevOps, which seeks to coordinate the output of developers and operations teams into a smooth, consistent ...

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.

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 ...

Companies embrace DataOps software for flexible, reliable data operations to support automation, observability, business goals, new research says Enterprises are adopting agile, responsive data ...

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 ...

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 ...

What is DataOps? DataOps (data operations) is a new approach to data management which brings together data workers — the individuals who collect, clean and prepare data — with data analysts to help ...

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, ...

Get the latest federal technology news delivered to your inbox. A shift is underway in database management. The rise of hybrid IT and adoption of cloud-native apps has evolved database design, ...

LONDON, March 14, 2023 — DataOps.live has released an update to the DataOps.live platform, delivering a higher order of productivity for data teams. The company will be showcasing these new ...

Enterprises are adopting agile, responsive data processes to support trusted, reliable implementations of AI and automation, according to new research from global AI-centered technology research and ...