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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) 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.

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 EconomyParallel R: Data Analysis in the Distributed World, and Bad Data Handbok: Mapping the World of Data Problems. He is currently working on a new book on time series analysis, and another on building analytics shops (Making Analytics Work).

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  • Young-Jin K.

    Great showing for the first meetup of the year. Looking at what others would like to learn we have Python and D3 on the agenda for our February Meetup.

    January 31, 2014

  • Shaun

    This is my first event - looking forward to it

    January 30, 2014

  • Kathryn E.

    Something came up, so I won't be able to make it. Looking forward to the next one!

    January 29, 2014

  • Tom

    Guys and gals, I am getting started by setting up a Hadoop environment using Hortonworks Sandbox. If you're interested in joining, send me a message or see me at the meetup.

    1 · January 28, 2014

    • Dion R.

      That would be great, and I would like to join you...

      January 29, 2014

  • Tom

    It may be a bit too early, but I am going to start the conversation anyway. Hadoop, from what I have gathered, is a framework that supports processing of large data sets in a distributed environment. What kind of data sets are they talking about? Data has to be stored somewhere somehow. Are they talking about tables, tablespaces, instances and databases or sequential files with headers (metadata)?

    January 17, 2014

    • Matt M.

      Tom, you might want to read more about how hadoop stores the data here: http://en.wikipedia.o...­ . Essentially it's a number of larger files spread across N nodes. In general (it's quite complex) a "query" is submitted to the JobTracker which splits the query up into respective parts sending it to TaskTrackers on the distributed servers, which can operate on their respective data. The results are coalesced/reduced back to respond to said query.

      3 · January 17, 2014

    • Tom

      Thank you Matt! For those of you who are reading this, you don't need to go to Wiki. Matt's explanation is quite succinct.

      January 17, 2014

  • Dion R.

    Hello everyone...

    January 13, 2014

  • Jeannie

    Aw bummer. I'll be out of town.

    January 9, 2014

  • Hugh D.

    Thanks!

    January 9, 2014

  • Hugh D.

    Thanks!

    January 9, 2014

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