Contributor: Tomer Shiran

MapR Converge Blog author, Tomer Shiran

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 was 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.

Blog Posts by Tomer Shiran

May 28, 2015 | By Tomer Shiran

How to Deploy Apache Drill and Connect to BI Tools – Whiteboard Walkthrough

Editor's Note: 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. Here's the transcription:...

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May 13, 2015 | By Tomer Shiran

Apache Drill: The Rise of the Non-Relational Datastore – Whiteboard Walkthrough

Editor's Note: 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. Here'...

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April 10, 2014 | By Tomer Shiran

MapR Integrates the Complete Apache Spark Stack

_This was originally posted on the Databricks blog. _ 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...

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October 22, 2013 | By Tomer Shiran

MapR Embraces Ecosystem Projects

Apache Hadoop has inspired a rich ecosystem of projects and products that benefit everyone interested in Big Data. With so many options available, I frequently am asked whether MapR supports a specific project - examples include Impala, Knox, Storm and...

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September 13, 2013 | By Tomer Shiran

Updating our Hadoop Vocabulary

Gartner Analyst Merv Adrian is spot on in his blog What, Exactly is ‘Proprietary Hadoop’? Proposed: ‘distribution-specific’. Merv proposes we update our Hadoop vocabulary replacing “proprietary” with “distribution-specific.” The term ‘proprietary’ represents...

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August 07, 2013 | By Tomer Shiran

Responding to the Need for SQL on Big Data: Apache Drill

SQL has become really hot – Why? Customers are looking for interactive performance in big data solutions with streamlined work flow and flexibility in their choices. Being able to use SQL effectively on Hadoop and other big data systems is a big step...

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July 15, 2013 | By Tomer Shiran

Architectural Advantages Widen Innovation Gap

MapR’s competitors have been presenting “futures” to prospects since the day MapR came out of stealth. For the most part, the “futures” that were presented in 2011 are still futures in 2013. Merv Adrian writes about this in his blog post That Exciting...

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July 11, 2013 | By Tomer Shiran

MapR M7 is Now Available on Amazon EMR

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. The combination of...

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September 08, 2012 | By Tomer Shiran

Excitement about Apache Drill

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...

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May 11, 2012 | By Tomer Shiran

Announcing the MapR Hive ODBC Driver

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...

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January 26, 2012 | By Tomer Shiran

Top 10 NameNode-related problems

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...

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August 23, 2011 | By Tomer Shiran

MapR and MapReduce 2.0 – The Integrated Next Generation Distribution

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...

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