Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. If asked to list the top trends that are shaping the enterprise data center today, most ...

Despite the large investments that organizations are making in big data applications, difficulties still persist for developers and operators who need to find efficient ways to adjust and correct ...

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 ...

Data science and machine learning are often associated with mathematics, statistics, algorithms and data wrangling. While these skills are core to the success of implementing machine learning in an ...

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 ...

As enterprises embrace digital transformation and migrate critical infrastructure and applications to the cloud as a key component of those efforts, what can be called “data clouds” have started to ...

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A new study out today shows that DevSecOps could stand to use a healthier dose of OpSec, as many DevOps tools are left exposed on the public Internet with little to no security controls. So much of ...