A2 Radio: How to Pick the Right Hadoop Use Case

As many industry watchers see it, Hadoop is ready for the enterprise -- full steam ahead.

As All Analytics Executive Editor Michael Steinhart points out in his feature, Navigating the Hadoop Universe, research firm after research firm see significant growth in enterprise Hadoop deployments over the next two years. Proofs of concept are bearing fruit, and companies are ready to begin rollouts in earnest.

If you're not among those that already have Hadoop plans in place or under consideration, chances are that you will be sooner rather than later. Hadoop is too hard to ignore if you have any intention of effectively managing and delivering value from the big data your company amasses.

While your traditional databases and data warehouses may continue to serve you well for some purposes, they lose their effectiveness as datasets get bigger -- and bigger -- and more diverse. Hadoop, purpose-built to handle large, unstructured datasets, becomes a go-to option for supporting the big-data piece of an enterprise data strategy.

Rest assured, if you're not sure how to get started with Hadoop, you're not alone. Conceptually, Hadoop may be easy enough to understand: It's open-source software that enables reliable, scalable, distributed computing across low-cost server clusters. But introducing Hadoop into your environment is not a mindless endeavor.

You do have to understand the bigger ecosystem in which Hadoop sits. You have to figure out how to integrate it with traditional databases and the data warehouse. You have to know how to layer in security and adjust traditional data processes to account for the new technology. You have to educate or hire staff. And, you have to figure out why you need it in the first place.

Ankur Gupta,
Ankur Gupta,

Toward that end, we've invited a Hadoop expert to join us for this week's A2 Radio episode, "Hadoop: How to Pick the Right Use Case." Ankur Gupta, a big data director at Sears and head of sales, marketing, and operations for MetaScale, a pioneering "big data accelerator" spun out of its Hadoop work at Sears, will share his tips on:

  • Making a case for Hadoop in your organization
  • Enabling business analytics by speeding up data workloads
  • Avoiding common missteps and roadblocks
  • Developing a clearly defined, long-term big data strategy

Register now, and don't miss out on this opportunity to hear from Gupta, a Hadoop thought leader. We'll be broadcasting live on Friday, Feb. 21, at 11:00 a.m. Following our half-hour broadcast, Gupta will take questions on our message boards.

In advance of the show, I'd love to know where your organizations are with Hadoop. Please share below.

— Beth Schultz, Circle me on Google+ Follow me on TwitterVisit my LinkedIn pageFriend me on Facebook, Editor in Chief, AllAnalytics.com

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Beth Schultz, Editor in Chief

Beth Schultz has more than two decades of experience as an IT writer and editor.  Most recently, she brought her expertise to bear writing thought-provoking editorial and marketing materials on a variety of technology topics for leading IT publications and industry players.  Previously, she oversaw multimedia content development, writing and editing for special feature packages at Network World. In particular, she focused on advanced IT technology and its impact on business users and in so doing became a thought leader on the revolutionary changes remaking the corporate datacenter and enterprise IT architecture. Beth has a keen ability to identify business and technology trends, developing expertise through in-depth analysis and early adopter case studies. Over the years, she has earned more than a dozen national and regional editorial excellence awards for special issues from American Business Media, American Society of Business Press Editors, Folio.net, and others.

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