Several recent articles and blog entries discuss this theme.
The Commoditization of Commercial Database Management Systems?
by Craig Mullins
Databases are so popular these days that they are being taken for granted. This article argues that databases are intricate, multi-faceted and useful tools that are necessary to get the most out of the data that is being collected and should not be considered a commodity as no two offerings are alike.
The Continuing Role of the Database in the New Era of Big Data
by Bernie Spang
Massive amounts of complex big data must be stored in databases in order for it to be analyzed and made of use to businesses. What features in a database are necessary to take on this challenge?
Big Data: IBM’s Mainframe Customers Base Grows
by Dave Beulke
IBM’s Big Data solutions are being embraced by companies worldwide. This discussion shows that IBM Information Management solutions are well positioned to fill the needs to handle all your big data.
The Maturing of Big Data: From Herding Cats to Taming Tigers
by James Kobielus
With all the recent innovation in the big data market, has big data matured? Have we figured out how to make big data tigers jump through hoops, or are we still just herding cats?
Infographic: Taming Big Data
Are you ready to “sink your teeth” into Big Data Technology? Learn how to start using IBM’s technology correctly in order to get the most out of your efforts by learning these 12 best practices.
In addition to these articles, I highly suggest that you read the report Analytics: The Real-World Use of Big Data. It is based on the Big Data @ Work Survey conducted by IBM in mid-2012 with 1144 professionals from 95 countries across 26 industries.
“Across industries and geographies, our study found that
organizations are taking a pragmatic approach to big data.
The most effective big data solutions identify business
requirements first, and then tailor the infrastructure, data
sources and analytics to support the business opportunity.
These organizations extract new insights from existing and
newly available internal sources of information, define a big
data technology strategy and then incrementally upgrade their
infrastructures accordingly over time.”