Forbes
March 8, 2016
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eWeek
April 18, 2016
We are all quite aware that data volume and velocity are increasing at increasing speeds, so it becomes more relevant than ever to provide users with immediate access to the right data across operational and analytical workloads. When tasks need to be completed, the data must be accessible and transportable in real time. The conventional approach of creating new data silos for distinct data sets is clearly inadequate.
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Silicon Angle
April 14, 2016
Tugdual Grall, technical evangelist at MapR Technologies, Inc., and Ted Dunning, chief application architect at MapR, joined Dave Vellante (@dvellante), cohost of theCUBE, from the SiliconANGLE Media team, to give their perspective on how the changing Hadoop ecosystem is affecting things for developers and users alike.
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SuperbCrew
April 14, 2016
The value proposition of becoming a data-driven business is clear with expectations of increased revenues, bigger margins, and new business opportunities. But one of the biggest obstacles companies face is the separation of data sources. One of the leading Hadoop vendors, MapR, has developed a converged data platform that eliminates separate data silos and provides a common platform for file, tables, streams, and other unstructured data to usher in a new generation of big data applications.
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IoT Hub
April 13, 2016
The Internet of Things is causing real-time data and persistent datasets within organisations to grow at an exponential rate, according to MapR’s A/NZ sales director Justin Bock.
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Gizmodo India
April 13, 2016
MapR Technologies has recently opened a new 'converge community' to over 50,000 Hadoop and Spark professionals. The community, immediately open to everyone, offers public online assets that enable Hadoop and Spark developers, data analysts, and administrators to engage in technical discussions and share expertise that furthers the advancement of the big data community as a whole. This new initiative from MapR further builds on the fact that big data analytics will grow stronger than ever in 2016.
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The New Stack
April 12, 2016
Hadoop distribution provider MapR is using the recently released Apache Drill query engine version 1.6 as its “unified SQL layer” for its converged data platform, to provide a tighter integration with the MapR-DB document database.
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Inside Big Data
April 8, 2016
MapR Technologies, Inc., provider of the Converged Data Platform, announced the availability of Apache Drill 1.6 as the unified SQL layer for the MapR Converged Data Platform via tighter integration with MapR-DB.
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DBTA
March 29, 2016
NoSQL databases were born out of the need to scale transactional persistence stores more efficiently. In a world where the relational database management system (RDBMS) was king, this was easier said than done. Although many transactional systems have migrated to NoSQL databases for greater performance at a lower cost, this has not occurred within analytics on RDBMS, where analytics are predominantly rooted in the RDBMSs, tools, and technologies supporting OLAP.
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Forbes
March 28, 2016
We are about to enter an era in which the role of open source is redefined based on pressures from cloud computing and weaknesses in the open source development process. The Big Data 2.0 era will be one in which convergence happens in several dimensions
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Datanami
March 27, 2016
The way that computing is done is changing dramatically. Instead of a program with a finite input, we now have programs with infinite streams as inputs. Why does this matter, and why is the change happening now?

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