The Forrester Muse
OCT 23, 2013 11:27am ET

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5 Reasons Hadoop Is Kicking Can and Taking Names


Hadoops momentum is unstoppable as its open source roots grow wildly into enterprises. Its refreshingly unique approach to data management is transforming how companies store, process, analyze, and share big data. Forrester believes that Hadoop will become must-have infrastructure for large enterprises. If you have lots of data, there is a sweet spot for Hadoop in your organization. Here are five reasons firms should adopt Hadoop today:

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Comments (3)
The conceptual goodness of Hadoop is wonderful, but does not make a big data revolution (yet). Hard data on how many organizations are actually making Hadoop part of their product/service offering would be more compelling as an article. AWS EMR boosts >2M Hadoop instances fired up, but doesn't quantify how many of these are just for kicking the tires. Any hard data on how many Cloudera/Hortonworks/Apache deployments there actually are? The fact that the sales of hardware servers hasn't increased dramatically tells me that the adoption of new Hadoop clusters is not significant (yet) to claim a shift.
Posted by Theodore O | Wednesday, October 23 2013 at 1:54PM ET
To a non-technologist, this article does a great job of conceptually explaining what the Hadoop ecosystem components are and how they work in concise terms. A POC that can actually produce results is a compelling thought. However, I see the big problem in using "Hadoop data lakes to break down data silos across the enterprise and commingle data from CRM, ERP..." This will STILL be a challenge because pulling data scattered about multiple locations (silos) and relating it to a uniquely and singularly identified person, organization or group, (the main entities in CRM, ERP) really hinges on semantic reconciliation and unification. Most organizations will only get a tangled mess of data. The silos would have to share common semantics, definitions and so on. They do not.
Posted by Peter P | Friday, October 25 2013 at 8:53AM ET
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