There is a lot of circulating information on Big Data Hadoop projects and it’s advantages. Some of the of the benefits of Hadoop includes formatting unstructured data into a structured format for data mining and data analysis purposes. While Hadoop seems to be the platform that many businesses are using to sort through their “big data mess”, the article: Six Reasons Your Big Data Hadoop Project Will Fail in 2014  from the Business SOA Blog cautions businesses on deploying Big Data Hadoop projects.  See Preview below:

Big Data Human head Image

Ok so Hadoop is the bomb, Hadoop is the schizzle, Hadoop is here to solve world hunger and all problems.  Now I’ve talked before about some of the challenges around Hadoop for enterprises but here are six reasons that Information Week is right when it says that Hadoop projects are going to fail more often than not.

1. Hadoop is a Java thing not a BI thing
The first is the most important challenge, I’m a Java guy, I’m a Java guy who thinks that Java has been driven off a cliff by its leadership in the last 8 years but its still one of the best platforms out there.  However the problems that Hadoop is trying to address are analytics problems, BI problems.  Put briefly BI guys don’t like Java guys and Java guys don’t like BI guys.  For Java guys Hadoop is yet more proof that they can do everything, but BI guys know that custom build isn’t an efficient route to deliver all of those BI requirements.

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Source: Business SOA