Featured Author

Tomer Shiran
Co-Founder, Dremio

Tomer is the co-founder of Dremio. Prior to that, he headed the product management team at MapR and was responsible for product strategy, roadmap and requirements. Prior to MapR, Tomer held numerous product management and engineering roles at Microsoft, most recently as the product manager for Microsoft Internet Security & Acceleration Server (now Microsoft Forefront). He is the founder of two websites that have served tens of millions of users, and received coverage in prestigious publications such as The New York Times, USA Today and The Times of London. He holds an MS in Computer Engineering from Carnegie Mellon University and a BS in Computer Science from Technion - Israel Institute of Technology.

Author's Posts

Posted on May 28, 2015 by Tomer Shiran

In this week's Whiteboard Walkthrough, Tomer Shiran, PMC member and Apache Drill committer, walks you through the deployment of Apache Drill with different storage systems and the connection with BI tools.

Posted on May 13, 2015 by Tomer Shiran

In this week's Whiteboard Walkthrough, Tomer Shiran, PMC member and Apache Drill committer, walks you through the history of the non-relational datastore and why Apache Drill is so important for this type of technology.

Posted on April 10, 2014 by Tomer Shiran
With over 500 paying customers, my team and I have the opportunity to talk to many organizations that are leveraging Hadoop in production to extract value from big data. One of the most common topics raised by our customers in recent months is Apache Spark. Some customers just want to learn more about the advantages of this technology and the use cases that it addresses, while others are already running it in production with the MapR Distribution.
Posted on August 23, 2011 by Tomer Shiran
MapReduce 2.0 is the codename for a new execution engine for Hadoop (developed primarily by Yahoo! engineers that are now at HortonWorks). MapReduce 2.0 is expected to become available in the next major release of Hadoop (0.23). The source code directory structure can be accessed at http://svn.apache.org/repos/asf/hadoop/common/trunk/hadoop-mapreduce/
Posted on December 6, 2011 by Tomer Shiran
Today we announced version 1.2 of the MapR Distribution for Apache Hadoop. With this release, MapR continues to push the envelope by making Hadoop more accessible to more users, more languages, and more platforms. This release includes numerous features and capabilities including:
Posted on January 26, 2012 by Tomer Shiran
After joining MapR back in 2009, I spent many months meeting with early Hadoop users and listening to their pain points. In many of these meetings, users described problems related the HDFS architecture and the NameNode in particular. In this blog post I wanted to share 10 NameNode-related issues that came up frequently in these meetings:
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).
Posted on September 8, 2012 by Tomer Shiran
It has been an exciting time for us here at MapR with the unveiling of the Apache Drill project and the enormous amount of interest in the project. Many in the industry have commented to me about Drill being a game changer for Hadoop as well as the larger Big Data community.
Posted on March 4, 2013 by Tomer Shiran
This was an exciting week at the Strata Big Data conference. Our CEO, John Schroeder delivered a short keynote, Ted Dunning presented on moving Beyond Hadoop and included a glimpse of real-time streaming with MapR and Storm integration. I also presented an overview of Apache Drill in a standing room only session.
Posted on July 11, 2013 by Tomer Shiran
One year ago we announced a strategic OEM partnership with Amazon Web Services (AWS), making the MapR M3 and M5 Editions for Hadoop available on Amazon Elastic MapReduce as a simple drop-down selection in the AWS Management Console.

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