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Ten Reasons to Attend Hadoop Summit, San Jose http://bit.ly/1HMmV7b #hadoop #hadoopsummit
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Using Apache #Spark 1.3.1: Technical Preview with HDP 2.2 http://bit.ly/1Kyhjkz #hadoop #hdp
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Announcing Apache #Hive 1.2 http://bit.ly/1HyC382 #hadoop
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Apache Hadoop YARN in HDP 2.2: Isolation of CPU resources in your #Hadoop #YARN clusters http://bit.ly/1SiWyM7
Learn how Apache Hadoop YARN in HDP 2.2 allows CPU resource isolation in your Hadoop clusters
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Join Hortonworks at TU-Automotive Detroit: Leveraging Telematics for the Connected Car http://bit.ly/1Hu0uUh #hadoop
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.@pcross616 describes how @Webtrends data lake, with #HDP, enables instant analysis http://bit.ly/1KjZyFw #hadoop
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Apache Accumulo 1.7.0 Released http://bit.ly/1KA6e2l #hadoop
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Hortonworks Q1 Earnings Reflect Hadoop’s Momentum in the Enterprise http://bit.ly/1HJvTlK #hadoop
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Apache Hadoop Infrastructure Considerations and Best Practices http://bit.ly/1SjWZWm #hadoop
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Are you in Frankfurt? Attend Hortonworks Community Day 2015 in Frankfurt http://bit.ly/1Ejz6E4 #hadoop
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Am 22. Mai 2015 veranstalten Hortonworks und die codecentric AG einen kostenfreien Community Day im Rahmen ihrer langjährigen Partnerschaft. Auf der Agenda stehen Erfahrungsberichte aus dem Unternehmensalltag und neueste Entwicklungen vom europäischen Hadoop Summit 2015 – darunter Spark-on-YARN, Apache Zeppelin und die Hadoop-Enterprise-Features zu Security und Data Governance. Spannende Big-Data-Projekte von „Atlas“ bis „Zeppelin“ Anwendervorträ...
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Evaluating Apache #Hive with #Tez as a Fast Query Engine http://bit.ly/1HtDggP #hadoop
Kristen Hardwick, vice president of Big Data Solutions at Spryinc is our guest blogger. In this blog, Kristen shares performance analysis during Spryinc's evaluation of Apache Hive with Tez as a fast query engine.
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#Hadoop Summit San Jose at a Glance: Three Weeks to Go! http://bit.ly/1S8XBhA #hadoopsummit
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Community Driven Enterprise Apache Hadoop for Big Data
Introduction
We believe in the relentless march of community driven open source as the fastest path to innovation and adoption of Apache Hadoop. We believe the most effective path is to do our work within the open source community, introduce enterprise feature requirements into that public domain, and to work diligently to progress existing open source projects and incubate new projects to meet those needs.  And through the application of enterprise rigor to the build, test and release process we can provide a 100% open source distribution of Apache Hadoop that is truly enterprise grade. THIS is the Hortonworks approach:
  • Identify and introduce enterprise requirements into the pubic domain
  • Work with the community to advance and incubate open source projects
  • Apply Enterprise Rigor to provide the most stable and reliable distribution
Our engineers are committed to working within the 100% open source Apache Software Foundation projects with no commercial holdbacks.  This is in contrast to other vendors who take a proprietary approach that leads to closed interfaces and vendor lock-in.

Our mission is to accelerate and foster the adoption of Apache Hadoop by providing a 100% open source, enterprise grade Hadoop distribution.

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