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10 Big Data Definitions: Take Your Pick

        posted by , March 06, 2013

As with any emerging field, the definition of big data is always in flex.

A firm definition will eventually evolve. In the meantime, these definitions may suffice — take your pick.

Where did big data come from?

E-commerce, in particular, has exploded data management challenges along three dimensions: volumes, velocity, and variety.
~ Doug Laney, Gartner
(original 2001 definition of big data that has had great influence since)

Big Data is a class of technologies that initially evolved to process and analyze massive amounts of web content in the late 1990s.
~ Anna Mar, Simplicable

... if your data is so large that it’s spread across multiple machines, or on specialized hardware with multiple disks, congratulations: you’ve got Big Data.
~ Mike Driscoll, Metamarkets

Corporate data has been growing at close to triple digit rates annually since the 1970s. Eventually, standard technologies (relational databases) couldn't handle data processing requirements for cutting edge companies such as Google. Big data is an approach for dealing with high velocity, variety and volume of data.
~ Devin Fowler, Simplicable

How does big data work?

Big Data is a parallel processing technique for storing and processing large volumes of mixed data sets at high speed.
~ Anna Mar, Simplicable

Big data usually includes data sets with sizes beyond the ability of commonly-used software tools to capture, curate, manage, and process the data within a tolerable elapsed time ... with this difficulty, a new platform of big data tools has arisen to handle sensemaking over large quantities of data.
~ Wikipedia Definition

Why is big data useful to business?

Big Data is not defined by its data management challenges, but by the organization's capabilities in analyzing the data, deriving intelligence from it, and leveraging it to make forward looking decisions.
~ Isaac Sacolick, McGraw-Hill Construction

Big Data is the frontier of a firm’s ability to store, process, and access (SPA) all the data it needs to operate effectively, make decisions, reduce risks, and serve customers.
~ Mike Gualtieri, Forrester Research

Big Data is essentially a rebranding of ‘normal’ data.
~ Boris Mouzykantskii, Iponweb

Big Data is looking beyond traditional information constraints to ask the question — what's possible?
~Devin Fowler, Simplicable

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