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 ...

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 ...

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 ...

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 ...

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, ...

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

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

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. When failure is expensive, managers avoid it at all costs. When there is an aversion to ...

SAN FRANCISCO, September 04, 2019 — StreamSets, provider of the industry’s first DataOps platform for data integration, today details its vision for DataOps, the emerging practice for managing data in ...