Extracting accurate and meaningful answers from big data is tough. It's often made more challenging given the way big data software developers and IT operations lack coordination in many enterprises.

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 ...

If asked to list the top trends that are shaping the enterprise data center today, most technologists and tech investors would likely agree on a core set. The list would include technologies like such ...

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 ...

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 ...

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 practitioners are finding more in common with the cowboys of the Old West than modern-day, process-obsessed enterprise architects. These DevOps practitioners or the “shoot from the hip” cowboys ...

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. Devops is a relatively new concept that centers ...

The performance of Pure Storage's all-flash array and the agility of Actifio copy data management helped health site Lifescript develop a DevOps strategy to spur revenue. Read Now DevOps -- an ...