The MapR Data Science Refinery offers:
- Access to All Platform Assets - The MapR FUSE-based POSIX Client allows app servers, web servers, and other client nodes and apps to read and write data directly and securely to a MapR cluster like a Linux filesystem. In addition, connectors are provided for interacting with both MapR-DB & MapR-ES via Apache Spark connectors.
- Superior Security - MapR platform is secure-by-default, and Apache Zeppelin on MapR leverages and integrates with this security layer using the built-in capabilities provided by the MapR Persistent Application Container (PACC).
- Extensibility - Apache Zeppelin is paired with the Helium framework to offer pluggable visualization capabilities and it's very easy to add Deep Learning libraries or other tools to the container.
- Simplified Deployment - A pre-configured Docker container provides the ability to leverage MapR as a persistent data store.
ML is an active area of research and market innovation and there are game-changing ML companies investing to improve data science productivity and build domain-specific machine learning solutions. Being a data platform, we want to be open and give our customers flexibility to use these solutions on the PBs of business data they are relying on MapR to store and manage. So, we have extended this offering with selected Refinery partnerships as a holistic approach to enabling the MapR platform for all types of data science teams. Please visit our partner tabs for more information: