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 ...

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 ...

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.

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 ...

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 ...

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 ...

Despite the lip service paid to being “data-driven,” the average organization fails to collect or process more than half of the data it generates, according to a new report from Splunk. From an ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. From a focus on improving software delivery to discussing ...

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 ...

The leaked token, accidentally embedded by the company’s employee in a public repository, might have provided an attacker ...