MapR Simplifies
End-to-End Workflow for Data Scientists
Today we announced the immediate availability of
the MapR Expansion Pack (MEP) 4.1, enabling data scientists and engineers to
create scalable deep learning pipelines, make operational data instantly
available for data science, and achieve over 2X performance improvements
across a variety of data discovery and ad-hoc queries. MEP 4.1 expands the
ability to build real-time pipelines and brings data science capabilities to
a broad set of users with new languages support.
“We are
focused on enabling a variety of users to be productive on MapR on both
development and deployment, allowing them to leverage all data effortlessly
regardless of the data’s location on prem, in the cloud or at the edge,” said
Neeraja Rentachintala, senior director, database and analytics, MapR.
“The latest release of the MapR Expansion Pack gives the data scientist
community an option to use their language of choice, Python, for
high-performance data analysis on operational data, defining real-time
workflows to read/write data into MapR database, and pain free deployment by
simplifying the Python library distribution across the cluster.”
Call us today at 1-855-NOW-MAPR
or email info@mapr.com to learn how you can win with
your data.
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