Apache Hive Blog Posts

Posted on June 25, 2015 by Dale Kim

In the past few decades, the standard for working with and managing data has been SQL. SQL largely dominates the enterprise, and is used for everything from operational workloads and reporting to analytics. This standard will continue on Hadoop.

Posted on May 7, 2015 by Nitin Bandugula

Big Data analysis is intimidating to some people. They assume you need a background in statistics, deep technical knowledge, and other complex skills. But you don’t need to be a data scientist to extract insights and value from Big Data with Hadoop and Apache Drill.

Posted on April 21, 2015 by Nitin Bandugula

We are pleased to announce the availability of the Apache Drill Essentials course as part of MapR Hadoop On-Demand Training.

Posted on December 2, 2014 by John Schroeder

During a recent trip to the Asia Pacific region, I was astonished at the growing excitement already over Apache Drill; equally amazing is the fact that the adoption of Drill is skyrocketing. The groundswell of support we are seeing within the community is validated today by the Apache Foundation announcement that Drill is now a Top Level Project. You’ll find plenty of documentation on the Apache Drill project site, but let me tell you about the glowing feedback I received from customers and system integrators, and why these customers are so excited about this new tool.

Posted on September 28, 2014 by Karen Whipple

The recent MapR webinar titled “The Future of Hadoop Analytics: Total Data Warehouses and Self-Service Data Exploration” proved to be a highly informative, in-depth look at the future of data warehouses and how SQL-on-Hadoop technologies will play a pivotal role in those settings. Matt Aslett, Research Director for 451 Research, along with Apache Drill architect Jacques Nadeau, discussed what lies ahead for enterprise data warehouse architects and BI users in 2015 and beyond.

Posted on September 2, 2014 by Jim Scott

“Google is living a few years in the future and sends the rest of us messages,” Doug Cutting, Hadoop founder

Posted on June 30, 2014 by John Schroeder

This morning we were extremely pleased to announce a $110 million financing round led by Google Capital.

Posted on June 4, 2014 by Michele Nemschoff

The first day of the 2014 Hadoop Summit was filled with announcements and interviews.  MapR announced our first Apache Hadoop App Gallery, as well as our exciting partnership with Syncsort.  Jack Norris, MapR CMO, had a chance to talk about this news on theCUBE with Wikibon’s Jeffrey Kelly and SiliconANGLE’s John Furrier.

Posted on May 9, 2014 by Karen Whipple

This quarter is shaping up to be a great one for MapR! After recently announcing record growth in the first quarterwe’ve got some great momentum going into the second.

Posted on May 7, 2014 by Jon Posnik

SQL-on-Hadoop just got easier this morning.  Working together with the HP Vertica team, we are excited to announce general availability of the HP Vertica Analytics Platform running on the MapR Distribution for Apache Hadoop.

Posted on April 25, 2014 by Michael Hausenblas

The recent release of Apache Hive 0.13 prompted me to think about how far we are concerning serving both operational and analytical systems in the context of the Hadoop ecosystem.

Posted on January 23, 2014 by Anoop Dawar
As part of our ongoing certification process, MapR has updated the following ecosystem projects: HBase, Oozie, HTTPFS, Flume, Hive and Sqoop. These ecosystem projects are certified with Release 3.1.0. They are available on: http://package.mapr.com/releases/ecosystem/.

For details on these updates, please refer to the related release notes:

Posted on May 11, 2012 by Tomer Shiran
I’m happy to announce that we just released the MapR Hive ODBC Driver. It is available to all MapR M3 and M5 users.

The MapR Hive ODBC Driver is a standard ODBC 3.52 driver, allowing our users to leverage hundreds of commercial and open source SQL-based tools, such as query builders and BI applications. For example, we’ve tested our Hive ODBC Connector with Excel, Tableau, MicroStrategy and a variety of 100% open source SQL tools, such as Kaimon (http://www.kaimon.cl).

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