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Tuesday, September 29 • 14:00 - 14:50
More Data, More Problems - A Practical Guide to Testing on Hadoop - Michael Miklavcic, Hortonworks

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Just because the data is big doesn't mean you can't test. We believe it's probably even more critical to your SDLC on Hadoop to automate testing of your Hive, Pig, and MapReduce code than almost any other time investment you can make. We provide a soup-to-nuts, practical exposition on testing a variety of Hadoop application types to enable you to get better results faster.

avatar for Michael Miklavcic

Michael Miklavcic

Systems Architect, Hortonworks
Michael is a software engineer with over ten years of industry experience and has been a Systems Architect with Hortonworks for the past two years. He is a code contributor to the Apache Falcon project and works directly with clients to implement solutions using Hadoop. For over 2 years he has guided many Big Data and Hadoop projects at large enterprises to success. Michael has degrees in computer science and computer information systems from... Read More →

Tuesday September 29, 2015 14:00 - 14:50

Attendees (24)