DataOps

Open Source Vs. Proprietary DataOps
Core DataOps concepts are making their way into data engineering teams and, from there, into the broader enterprise. Data engineers are retooling how they create data products, and much of this work ...

DevOps’ Data Storage Problem
The technology sector has always been about problem-solving. When the value of big data was finally embraced, thanks to new analysis capabilities developed in the late nineties and early aughts, the industry ...

Consider DataOps for a Competitive Edge
DataOps seeks to eliminate existing barriers between people, technology, tools and data It’s no secret that COVID-19 has put the economy under enormous strain and future economic prospects are uncertain. A smart ...

The Taxonomy of DataOps
Yes
Data Operations, or DataOps for short, is one of those IT buzzwords that lots of people use, yet few can define precisely. Like the cloud or DevOps, DataOps doesn’t make sense until ...

DataOps: DevOps Plus Big Data
In traditional DevOps, there are the complimentary forms of development operations (that I call DEVops), and development operations (that I like to call devOPS). Between them they automate the toolchain and bring ...

