DataPotluck X Hadoop and Elastic MapReduce with Q Ethan McCallum

Hadoop is a powerful tool for large-scale data analysis. That power comes with a hefty price tag: the cost of building and maintaining the underlying compute cluster can hinder Hadoop adoption in small and large firms alike.

At our first DataPotluck of the year, consultant and writer Q Ethan McCallum (@qethanm) will explain how to put Hadoop to work for you, and how to use Elastic MapReduce (EMR), the hosted Hadoop solution provided by Amazon Web Services. Learn how EMR can help you get Hadoop in a hurry and on the cheap, without the costly cluster commitment.

About the speaker:

Q Ethan McCallum (@qethanm (https://twitter.com/qethanm)) works as a professional-services consultant, with a focus on strategic matters around data and technology. He is especially interested in helping companies to build and shape their internal analytics practice (http://www.qethanm.cc/consulting/building-analytics-shops/).

Q’s speaking engagements include conferences, meetups, and training events. He is also engaged in a number of projects, ranging from open-government/civic-data collaborations to open-source software tools. His published work includes Business Models for the Data Economy (http://strata.oreilly.com/2013/10/building-a-business-on-data.html), Parallel R: Data Analysis in the Distributed World (http://shop.oreilly.com/product/0636920021421.do), and Bad Data Handbok: Mapping the World of Data Problems (http://shop.oreilly.com/product/0636920024422.do). He is currently working on a new book on time series analysis, and another on building analytics shops (Making Analytics Work (http://makinganalyticswork.com/)).