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 ...

For data scientists, creating a perfect statistical model is all for naught if the compute power required is prohibitive. We need tools to assess the performance impacts of modeling alternatives Big ...

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 ...

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 ...

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 ...

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 ...

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 ...

7 big data goals for 2021: AI, DevOps, hybrid cloud, and more Your email has been sent Image: iStockphoto/metamorworks Must-read big data coverage What Powers Your ...