by Angela Guess

A new press release reports, “BlueData, provider of the leading Big-Data-as-a-Service (BDaaS) software platform, today announced the new winter release for the BlueData EPIC software platform. This new release delivers several new enhancements for data science operations, bringing DevOps agility and collaboration to data science teams as well as support for new machine learning use cases. More organizations are now building data science teams and the role of the data scientist is the #1 job in the U.S. for the second year in a row. Data scientists are highly skilled at developing advanced analytical models and prototypes; their data-driven innovations can be game-changing. But the siloed efforts and custom-crafted prototypes of individual data scientists can be difficult to scale, reproduce, and share across multiple users. What works for an ad-hoc model in development may not necessarily work in production; what works as a one-off prototype on a laptop might not work as a consistent and repeatable process in a distributed computing environment.”

The release goes on, “Increasingly, data science is becoming a team sport — often involving multiple data scientists, data engineers, data analysts, and developers that have different skillsets and different specialized tools. What’s needed is an approach that brings the agility, automation, and collaboration of DevOps to these data science and engineering teams. They need to operationalize the data science lifecycle in a streamlined and repeatable way. They require an agile and lean process that enables them to iterate quickly and fail fast. They need the ability to easily share data, models and code in a secure distributed environment. And they need the flexibility to use their own preferred tools and try out new technologies in the rapidly changing field of data science.”

Read more at Marketwired.

Photo credit: BlueData