Jumping Into Big Data? Some Things To Consider

It is no longer a question of whether your business stands to benefit a lot from Big Data. We've gone past that stage in the lifecycle of this technology or phenomenon (whichever you find more suitable). But where do you start with the implementation? According to Eric Knorr of infoworld, it all has to do with the problems you want to solve in the first place.

He looks at a number of scenarios (Here's a summary of what he captures in his article)...

1. Businesses That "Don't Want To Pay Oracle More Money"

Although this isn't a problem that should really be associated with Big Data, the fact remains that applications used in Big Data can help you deal with such a challenge.

Businesses have, by default, used Oracle as a "battle-tested, unassailable RDBM". However, NoSQL solutions (which are usually open source) perform a lot better for much lower cash outlay. This is especially the case when complex transactions, relational capability, two-phase commits, etc don't factor-in in database needs.

Furthermore, when working on projects that have to do with web applications (where instant scalability is demanded); there are a number of low-cost alternatives.

Read more scenarios here...