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MapR Technologies
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“Idealistically, people are going to put their hands on a tool like Apache Drill [and] say, ‘I can start with this on my laptop and can query every data store in my enterprise.’ Drill supports utilizing the Hive metastore, but does not require Hive to use it. There has been a competitive landscape of SQL on Hadoop.”
The future of the standard is use beyond the enterprise
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Congratulations to +MapR Technologies for launching the first converged data platform in the enterprise computing industry!
Today is very significant for MapR, with the introduction of MapR Streams and the industry’s first, and only, Converged Data Platform.
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“The incredible customer expansion rate and, most impressively, only a 1% dollar-based customer churn are a reflection of the high level of satisfaction and success enjoyed by our customers.” – Matt Mills, COO MapR

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Last chance to sign up with our early bird discount for the one-day conference Big Data Everywhere Boston! Sign up today and use the promo code "early bird"! http://bit.ly/1JKMF7t
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CMS Wire published an article on our 5.0 release and what implications it has for the market.
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We are happy to announce that the MapR distribution now ships with Apache Drill, the most powerful SQL query engine for Hadoop, big data, and cloud storage. Drill connects to a wide variety of data sources and enables schema-free SQL on complex data with the ability to report directly into BI tools. http://bit.ly/1LhBYHd
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In chapter 6 of his book on Apache Spark, Jim Scott goes into detail on Spark Streaming. He goes into detail on Spark Streaming comparing it to other solutions, explaining the inner workings, and shows to performance results. Take a look and read the whole book for free!
Spark Streaming Framework and Processing Models. Although now considered a key element of Spark, streaming capabilities were only introduced to the project with its 0.7 release (February 2013), emerging from the alpha testing phase with the 0.9 release (February 2014). Rather than being integral ...
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"This new product takes a constant stream of data like feeding consumer data to advertisers to create custom offers or distributing health data to medical professionals to tailor medication or treatment options — all of this in near real-time." 
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Time series data is of growing importance, especially given the rapid expansion of the Internet of Things. Download the free ebook from Ted Dunning & Ellen Friedman to learn about uses cases and NoSQL databases.
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Want to see a production-ready big data platform in action? Join one of our live demos! http://bit.ly/1R2gu7V 
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Want to see a production-ready big data platform in action? Join one of our live demos! http://bit.ly/1IsTGt7 
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Free online Hadoop courses are now available anytime, anywhere for developers, data analysts and administrators. The in-depth Hadoop curriculum with interactive labs and quizzes leads to certification. 
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408-914-2390
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350 Holger Way San Jose, CA 95134
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Provider of the Only Converged Data Platform
Introduction
MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop. MapR is used by more than 500 customers across financial services, government, healthcare, manufacturing, media, retail and telecommunications as well as by leading Global 2000 and Web 2.0 companies. Amazon, Cisco, Google and HP are part of the broad MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. MapR is based in San Jose, CA. Connect with MapR on FacebookLinkedIn, and Twitter.