Today companies need the latest data at their fingertips, without it they limit their agility and ability to maneuver potential competition, writes Alasdair Parsonson, technical expert at 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 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 ...

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 ...

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 ...

Gary Hallam is head of global channel development at Delphix. In this article he answers some frequently asked questions about DevOps and DataOps. Why is it important for organisations to move data ...

In today's fiercely competitive industrial landscape, enterprise leaders consistently face pivotal decisions that could either propel their organizations forward or leave them lagging in the digital ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. This article is more than 3 years old. LONDON - DECEMBER 18 ...

One of the biggest analytics stumbling blocks for biomanufacturers is the need to prepare data in a way that makes it accessible to analytic systems and valuable to end users. Implementing a DataOps ...