Outside of the data warehouse profession, the phrase “Big Data” is still widely misunderstood. Even Google is confused: a Google search for “define ‘big data’” returns the definition: “extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.”

But on a modern laptop with Excel you can easily analyze hundreds of millions of rows of data. Google (a “Big Data” pioneer) should know better. This article looks at what led to the rise of big data and why instead of being called “Big Data” it should perhaps be called “Parallel Processing for the Masses.”

Source: datanami.com
Author: Craig Lukasik