IBM has launched Data Science Experience Local, its new collaborative workspace for private clouds. With this workspace, data scientists and organizations that work with sensitive data can quickly, easily, and securely collaborate on data analytics models in their own private locations, behind their firewalls.
While cloud is best suited to handle the workloads and the huge volumes of data with which data scientist work, cloud adoption has been very limited due to security concerns. Data Science Experience (DSX), launched by IBM in November 2016 on the IBM cloud provides a collaborative environment where cloud scientists can leverage tools like Spark, R, Python and Anaconda.
DSX Local provides a similar experience within an organization`s own servers, data centers and firewalls. It uses open source cluster managers like Kubernetes to provide a clustered, scalable installation, that allows monitoring and administration of services. DSX Local allows data scientists to share their projects and code, collaborate and build analytic models, and integrate with open framework models. By pairing DSX Local with DSX, organizations can enable data scientists to work on both public as well as private cloud environments to develop hybrid solutions.