It’s a generally accepted maxim that the business community’s fascination with big data, which started in the mid-2000s, ran out of steam about five years ago. But that’s only partly true. While the ...

Last week’s Informatica World 2016 brought out a lot of talk involving data quality, real-time live data and the automation of ingesting and analyzing data in order to turn it into something ...

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SAN DIEGO, Calif., Sept. 28 — To improve the agility of data analytics environments, Teradata (NYSE: TDC), the big data analytics and marketing applications company, today announced it is the first ...

Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Data scientists have some practices and needs in ...

DevOps repos on GitHub, GitLab, Bitbucket, and Azure DevOps face risks from weak access controls, misconfigurations, outages, and accidental deletions. GitProtect provides automated, immutable backups ...

It may be a stretch to call data science commonplace, but the question “what’s next” is often heard with regard to analytics. And then the conversation often turns straight to Artificial Intelligence ...

This week in DevOps shows big data and and DevOps are two of the latest IT trends to intersect–and just as with BI and big data, they unlock new potential for organizations when leveraged together.

Major opportunities in the Saudi Arabian DevOps market include the rapid expansion of cloud and data infrastructure, aligning ...

As system architecture moves to the cloud, understanding the impacts of new code releases and points of failure requires a whole new approach. The increase in agility, bandwidth, and security has been ...