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5 myths about Big Data

Debarati Roy | May 31, 2013
Big Data has every ingredient that makes it a concept prone to misconceptions.

5. Big data is all about analytics:
Analytics is just one part of big data, essentially the end-goal. You need to first figure out how to store, manage, archive, and retrieve data. But often, all this gets buried under the fancy tag of analytics. Big data can get out of control quickly since discovering value from a slice of data makes you greedy for more data.

Big data can get too complex too fast. The key is to keep big data small and reasonable, and figure out how to manage it before analyzing it.

 

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