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 ...

Analysis of the latest trends in cloud and datacentre technology. In this guest post, Jim Cassens, CEO of DevOps automation tools provider Perforce, sets out how DevOps can help enterprises get to ...

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 ...

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 ...

FREMONT, Calif.--(BUSINESS WIRE)--Observo AI, an AI-native data pipeline company solving data sprawl and exponentially rising costs in observability and security, today announced the general ...

While the general advancement of enterprise software is often thought of as the marrying of software development and data stacks, a third consideration is essential to driving tangible advancement. It ...

DevOps, which brings faster software updates, could help prevent the avalanche of records exposed in data breaches, but Google's research finds that existing practices don't meet the task at hand.

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 ...

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 ...