Mainstreaming Big Data

Loraine Lawson
Slide Show

Big Data Analytics

The first steps toward achieving a lasting competitive edge with Big Data analytics.

How would it change your business if you - or your sales team - could just "rent" Big Data?


It's not as far off as it sounds. The New York Times' blog Bits recently claimed Amazon is researching business models for companies that make and sell pattern-finding algorithms for Big Data sets. And GigaOm recently reported on five low-profile startups - including one with a SaaS-based offering - that could change how Big Data is accessed and for whom it's available.


That Amazon would consider offering what is, essentially, Big Data as SaaS is not so far-fetched when you consider that it already owns the raw processing power and data stores. In fact, a number of companies use Amazon to run their Hadoop stores, including eHarmony.


"It would not be difficult for Amazon to offer such a service, since many of the company's major products are already on Amazon Web Services, and other legacy applications are being moved there," writes blogger Quentin Hardy. "That means that data management tools like Map Reduce (currently a feature in Amazon Web Services), payment security and fraud detection software, and Amazon's product recommendation engine could all be in the system."


Hardy points out IBM, Oracle and even Apple are well positioned to offer similar Big Data capabilities, if they wanted. And The Register adds that there's no reason a company couldn't start a similar solution using Amazon's own servers.


Right now, if you want to get into Big Data, you can set up your own cluster using Hadoop at a cost of $4,000 per node, or you can rent space from cloud computing providers such as Amazon. Data stores are "sold separately," with many companies using Big Data to process their own internal data.


There are also a number of startups that could change how Big Data is used. So far, the discussion has been focused on the infrastructure - how Hadoop stores and processes data. But that conversation is shifting, according to GigaOm, as startups address how you can actually use that data "without hiring a team of Stanford Ph.D.s."


BloomReach is one of the companies GigaOm identifies, writing it is a SaaS-based product that takes a "very targeted, very hands-free approach to big data for its customers."


Another company, Continuuity, plans to make it easier to build applications that leverage cloud computing and Big Data technologies.


So it soon may be that we'll spend less time talking about Hadoop and MapReduce, but more time talking about the business value of Big Data services.

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Add Comment      Leave a comment on this blog post
Jan 31, 2012 9:31 AM Fernando Ardenghi Fernando Ardenghi  says:

eHarmony (eDarling in some countries) DOES NOT HAVE any peer_reviewed Scientifc Paper by Academics (public scrutiny of findings) from different Universities showing eHarmony's matching algorithm can match prospective partners who will have more stable and satisfying relationships than couples matched by chance, astrological destiny, personal preferences, searching on one's own, or other technique as the control group.

eHarmony (eDarling) has been always the same:

1) Big5 to assess personality.

2) Dyadic Adjustment Scale (invented by Dr. Graham B. Spanier in 1976) to calculate compatibility (similarity) between prospective mates.

3) Guided Communication Process as an appendix of its main matching algorithm. The Guided Communication Process is a mutual filtering step.

You can use a 1984 Commodore 64 or ZX Spectrum computer to calculate Dyadic Adjustment Scale between prospective mates.

Apr 6, 2012 6:56 PM Floppy to usb Floppy to usb  says:

Yes, you are right , Amazon is capable of handling all this . And be prepared IBM , hp like giants are going follow the tren.


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