Wiki says “a collection of data sets so large and complex that it becomes difficult to
process using on-hand database management tools” for a Big Data. When it
comes to business always it has different definition than the theoretical part
of it. It’s another concept in the data world rather a technology, which
teaches different meaning to the same data. It started with Database continued
with Datawarehouse, Master Data Management, BI analytics, Exadata and now the CIO
world has coined Big Data. The purpose of all these tools are more similar but
the need of evolution differs as always determined by the demand. Web2.0’s
evolution, let’s say for some good reasons, which gifted sleepless nights for marketing
guys who are much worried about data. Data becomes information when it comes with
a soft or hard corner on your business which can be from Web2.0 based sites
like Facebook, Linkedin, Twitter etc... It is estimated that amount of data
will go upto 44 times as to the data of 2009. When these data is captured or utilized,
it not only generates leads but also provides some basic info on consumers
mind. Big Data’s evolution is being triggered by the Web 2.0 websites and the
need of the corporates to read the mind of consumers. “Big Data can help you
when your business wants to know why a guy is not ready to buy my Product?”
There are lot of tweets and comments in the Web2.0 world that shows the mind of
the consumer what they want from you rather on how they are satisfied with you.
Lot of major players are running behind this and yes Oracle is also one among
them. Let’s explore what an oracle customer can get out of this Big Data and
how they do this in the coming posts.
