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Your search is now limited to «MapR» expert search. 04/15/2019 08:20
Aliso Viejo-based Corent Technologies, which develops cloud migration software, and AI and data analytics software developer MapR Technologies said this morning that MapR Technologies has selected Corent's SurPaaS platform to help customers access MapR's Data Platform for AI.
This allows us to offer more innovative options to customers such as subscription based, flexible, or dynamic pricing models our customers will need,” said Lisa Marselli, Senior Director of Business Operations at MapR.
More from Global Banking & Finance Review (UK):
New Stack 04/02/2019 12:00
Last year, data platform MapR tackled this problem by providing a persistent storage layer for Kubernetes, and now the company is extending that functionality with new integrations for Apache Spark and Apache Drill.
More from New Stack: 04/02/2019 09:46
New advances make it easy to deploy native Spark and Drill applications in Kubernetes Santa Clara, Calif. – April 2, 2019 – MapR® Technologies, Inc., visionary creator of the next-generation data platform for AI and Analytics, today announced innovations in the MapR Data Platform that accelerate the compute journey with new, deep integrations with Kubernetes [...]. T.
(MENAFN - EIN) New gold and silver backed token Maya Preferred 223 promises to use itself to stabilize the cryptocurrency market By Backing other major cryptocurrencies NEW YORK, ...
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Business Wire 03/14/2019 08:00
We have built a close relationship with MapR through several major customer projects and we are happy to announce a strengthening of our relationship by becoming a MapR Global Solutions Partner,” said Stefan Zosel, head of sales, managed cloud services platform for T-Systems ...
More from Business Wire:
DATAVERSITY 02/07/2019 03:15
According to a new press release, “MapR® Technologies, Inc., provider of the industry’s next generation data platform for AI and Analytics, today announced the immediate availability of MapR Ecosystem Pack (MEP) 6.1, giving developers and data scientists maximum flexibility in how they access data and build powerful AI/ML, real-time analytics and stateful containerized applications ...

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