11 Common myths of Big Data

#1* Big Data always means data above or in range of TB.

No,sometimes few gigabytes also become big data because of variety.

#2

* Big Data is always about social media, doesn't apply to me.

It just so happens that gathering social media's data is the easiest thing to do and therefore in lots of use cases or example use cases of Big Data you will find the social media data, but that doesn't mean that it's limited to social media.

#3

* Big Data will replace EDW [Enterprise data warehouse]

No, enterprise data warehousing is good for the relation data, transactional data and most of the Big data tool since being in the distributed nature they are not great with the enterprise warehouse.

#4* Big Data is just a buzzword, No practical applications.

No, has it been just buzzword it would have been died by now.

There are many more companies utilising it.

#5* Big Data is new Concept

No, it has been there for quite some time.

#6* Big Data will be future.

No, its a present.

#7* Big Data is expensive.

No, all of the solutions are open source.

#8* Big Data is only for data scientists. Or is magic.

No. its for everyone. Most of the work done by data scientists is available as part of Mahout, MLib and other tools, libraries.

#9

* We have enough hardware, don't need any more.

No, the whole premise of Big data is that whatever hardware you have you can connect it over a distributing computing and start using it. You don't have to buy high-end servers, average computers can be used.

#10* We will build it when we need it.

When you need it you won't have it, because you won't have the data by that time.

#11* Big Data is about Hadoop.

No, Hadoop is just one such soultion.