Hadoop and MySQL: Friends with Benefits

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(4.00, 6 ratings)

MySQL offers compelling benefits to developers in the form of speed, reliability, data integrity and scalability. While MySQL has been proven to handle petabytes of data, sometimes a relational database just doesn’t fits the intended task. For instance, applications that require massive parallel data processing or logging on the backend to create a final data set, may find it beneficial to outsource some of the tasks to a massive parallel processing system, such as Hadoop.

Hadoop is a cross-platform framework written in Java that’s designed to support data intensive distributed applications with a focus on data processing. Google’s MapReduce and Google File System papers inspired Hadoop’s creation. Hadoop’s computational paradigm, named map/reduce, divides an application into several small fragments allowing tasks to be executed on any node in the cluster.

MySQL and Hadoop working in tandem can provide a path to innovation. The best of both worlds can be achieved by taking this innovative approach.

In this presentation, we take a look at case studies and use cases where Hadoop and MySQL together are providing answers to some very complex challenges for innovative startups.

Photo of Frank Mashraqi

Frank Mashraqi


Frank Mashraqi is a renowned speaker and scalability advisor to several startups. He has nearly a decade of scalability, engineering management and monetization experience. Prior to Opportunities, Frank was Co-founder and VP Technology of XGraph, an advertising company using social graph data to scale highly targeted campaigns. Prior to that, Frank was Director of Business Operations and Technical Strategy for Fotolog where he played a pivotal role in helping Fotolog scale to become the 13th largest website on the Internet (Alexa: based on traffic) and the third most actively used social network in the world (ComScore). He also led the disaster recovery efforts at Fotolog after a SAN crash threatened to put $100M acquisition offer in jeopardy. Frank holds a BBA in Accounting and a BS in Computer Information Systems. He lives in Menlo Park, CA and is passionate about helping entrepreneurs.

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04/21/2009 8:42pm PDT

Good highlevel presentation about Hadoop, Hadoop FS and Bigtable.

Co-presented By:

O'Reilly Media MySQL/Sun Microsystems
  • Kickfire
  • Virident
  • Infobright, Inc
  • JasperSoft
  • Intel
  • Advanced Micro Devices
  • BIRT Exchange by Actuate
  • Calpont
  • Canonical
  • Continuent
  • Dolphin Interconnect Solutions
  • Facebook
  • HiT Software, Inc.
  • IBM
  • iDashboards
  • Oracle
  • Pentaho
  • R1Soft
  • Schooner Information Technology
  • SQLstream
  • Ticketmaster
  • Zmanda, Inc.
  • Linux Journal

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