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How Google Does Big Data

Note: Talk will start at 6:30PM due to construction starting in ATV later in the evening.


Rapidly crunching terabytes of big data requires complex technology and tremendous IT investment. Organizations of all sizes are looking for alternatives to the existing world of on-premise database technology and looking to the cloud and “big data” technologies to deal with the explosion of data types and volumes available in their organizations.

Over the years, Google has been an innovator in processing and analyzing massive amounts of information. Google has been responsible for inventing and developing many of the technologies that have been adopted by the IT industry to solve “big data” and computationally intensive problems.

Google’s Big Data and Cloud Platform Expert James Chittenden will examine in depth, what it takes to succeed in deriving business value out of Big Data. We'll dive into Google's Big Data stack (BigQuery, Compute Engine + Hadoop, Building Big Data Pipelines, etc) as well as explore best practices when harnessing Google’s massive infrastructure in supporting those efforts.

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  • Ryan

    Attend 3 days Big Data Bootcamp starting Friday September 12,2014 @ Georgia World Congress Center,Atlanta

    To attend any One Day: Price $799 ( $50 discount, Use Discount code MEETUP)
    To attend any Two Days: Price $1099 ( $50 discount, Use Discount code MEETUP)
    To attend all Three Days: Price $1499 ( $50 discount, Use Discount code MEETUP)

    Discount expires on September 11th Register : September 12th-14th

    Global Big Data Conference is offering 3 days extensive bootcamp(September 12th - 14th) on Big Data. This is a fast paced,vendor agnostic. No prior knowledge of databases or programming is assumed. Big Data Bootcamp is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop, NoSQL & Machine Learning. Attendees will experience real Hadoop clusters and the latest Hadoop distributions.

    September 9, 2014

  • James

    Great meeting everyone last night! I've posted the deck to download under files, and here is the link to check out Google's Cloud Platform:
    Promo code: jach-in

    Cheers, and look forward to future meetings!

    4 · September 27, 2013

  • Anuj V.

    Good presentation. Can someone share the promo code and URL that can be used to play around in the cloud?

    September 27, 2013

  • Travis T.

    Can you post the deck?

    1 · September 26, 2013

  • Charles H.

    Good meetup tonight. Good presentation about google cloud and demonstrations. Good pizza and beer. Good networking.

    September 26, 2013

  • Narender

    very informational and networking potential

    September 26, 2013

  • Travis T.

    Next time!

    September 26, 2013

  • Pankaj I.

    Heard a lot about Big Data.... Want to learn more about it

    September 24, 2013

  • Srinivasa D.

    Wanted to learn new technology, Big Data

    1 · September 23, 2013

  • Pramod D.

    Thanks for invite. I am new to Hadoop and would like to understand the use cases and future.

    September 9, 2013

  • Alfred X.

    Wanted to learn about Big Data.

    September 6, 2013

  • Narender

    I hear a lot of Buzz about the Big data/Hadoop. But curious to know the Use cases for this technology and Job prospects down the road.....

    September 1, 2013

    • A former member
      A former member

      There are two categories of use cases that Hadoop addresses. The first could be categorized as straight-up infrastructure replacement like Travis talks about above. Data warehousing and ETL for an order of magnitude less than what companies are paying today. This is in fact the primary category of use case that most of the people selling Hadoop today lean on to get that first use case in a large enterprise.

      September 1, 2013

    • A former member
      A former member

      The second use case category covers the applications that you can develop based on Hadoop. These are the NSA-type applications, what the NIH is doing with genetic/medical data, etc. and so on. This category of use cases requires more than just Hadoop to be successfully deployed. Typically you will see some combination of custom code, machine learning, natural language processing, search, etc. pulled together to deliver a comprehensive application interface to users that need to work with these types of highly variable, voluminous and fast-changing data. This is the primary use case that companies like LucidWorks seeks to address, and you are seeing most of the major Hadoop vendors come this way as well in steps - Cloudera's Solr integration, MapR's partnership with LucidWorks, EMC/Greenplum's Solr integration as well.

      2 · September 1, 2013

  • Tom G.

    Looking forward to it

    August 7, 2013

  • Sergiu B.

    MapReducer. A model/programing module in order to can satisfy their needs. The builder their own module/model and published the papers.

    August 4, 2013

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