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 ...

You often hear that data is the new oil. This valuable, ever-changing commodity has begun to play a starring role in many cloud-native applications. Yet, according to a number of DevOps teams, data ...

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 ...

Overcoming DevOps obstacles—such as slow, manual, poor-quality test data—is key toward accelerating pipelines. With speed being a central success factor for DevOps pipelines, increasing velocity ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Much has been written about struggles of deploying machine learning ...

DevOps adoption can invite a wealth of opportunities for application development, yet data management continues to lack the speed, interoperability, and flexibility that prevents a successful DevOps ...

Making DevOps data more visible and easily accessible helps teams improve their software delivery and gives them an edge over their competitors. According to the recently released analysis of data ...

The growth of data center scale has given rise to devops--a melding of developer and operational skill sets. One player in this market offers his take. Dave Rosenberg has more than 15 years of ...

DevOps has proven to be an effective means of reshaping IT and developer organizational culture and processes in ways that improve software quality, release cycles and deployment robustness. As I ...