by Angela Guess

A recent press release reports, “Today Cazena unveiled its Data Science Sandbox as a Service at Spark Summit East 2017 in Boston. The service is designed to deliver significantly faster outcomes from data science and analytics programs. Now, data scientists can run a wide range of analytics in a flexible cloud environment without having to build, manage or maintain the underlying technology. Cazena addresses a growing challenge: data scientists are in high-demand, but once hired, teams often lack adequate resources or DevOps expertise for advanced analytics. Data scientists are forced to wait for systems or build a platform themselves, which are both time-consuming options that delay results and distract from a team’s primary goals.”

The release goes on, “With Cazena’s Data Science Sandbox as a Service, it only takes three clicks to start running analytics in the cloud. Cazena bundles components into a single Sandbox with end-to-end capabilities, including data storage, processing, security, tools and embedded support for R, Python, SQL and other analytics. Data scientists can interact with Cazena easily through a web interface, their preferred apps/scripts or built-in tools such as RStudioServer Pro or Hue Notebooks. Additional storage and processing power is available on-demand so data scientists are never constrained. Cazena’s built-in data movers securely transfer datasets from cloud or enterprise data sources, making it easy to consolidate data in a Data Science Sandbox. To underscore its usability, Cazena announced that data scientists can use the Sandbox as a Service for free for one week. Analytics teams can load their own datasets and use familiar analytic methods to run real projects. Hands-on access is the best way for many to appreciate its ease of use and end-to-end capabilities.”

Read more at SAT Press Releases.

Photo credit: Cazena