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Interesting interactive timeline featuring a number of "big data" milestones since 1932. There's way too much emphasis on BI, ERP and SAP, but still, it contains lots of interesting history when you filter out these references. 

Big data, back in 1940

Here are some highlights:

  • July 1997 - The Problem of Big Data. The term "big data" was used for the first time in an article by NASA researchers Michael Cox and David Ellsworth. The pair claimed that the rise of data was becoming an issue for current computer systems. This was also known as the "problem of big data". Source: Application-Controlled Demand Paging for Out-of-Core Visualization.
  • 2001 - Software as a Service (SaaS). The SaaS acronym first appears in an article in the Software & Information Industry's (SIIA) eBusiness Division.
  • February 2001 - The 3 Vs. Gartner Analytst, Doug Laney, published a research paper titled 3D Data Management: Controlling Data Volume, Velocity, and Variety. Even today, the “3Vs” are the generally-accepted dimensions of big data.
  • 2006 - An Open Source Solution to the Big Data Explosion. Hadoop was created in 2006 out of the necessity for new systems to handle the explosion of data from the web. Free to download, use, enhance and improve, Hadoop is a 100% open source way of storing and processing data that “enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data, and can scale without limits”. Source: HADOOP: Scalable, Flexible Data Storage and Analysis by Mike Olson
  • June 2008 - The Data Deluge Makes the Scientific Method Obsolete. The term “Big Data” began gaining currency in tech circles. Wired magazine published an article that presented the positive and negative impact of the modern day "data deluge". In the article, Wired announced that this was the "beginning of the Petabyte Age". Though it was a good hypothesis, the “petabyte” classification was too technical for the mainstream. Inevitably, petabytes, which equates to 1,000,000,000,000,000 bytes of data, would soon give way to even bigger bytes of data: exabytes, zettabytes and yottabytes. Source: Wired Magazine, The End of Theory: The Data Deluge Makes the Scientific Method Obsolete
  • 2011 - #IBMBigData. In 2011, IBM introduced a Twitter hashtag, #IBMbigdata which expanded on their Big Data themed website that they built in 2008 in an effort to integrate it into their marketing. Source: Twitter Search, #IBMBigData

Check the presentation.

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Comment by Chandrasekhara S. ("C.S.") Ganti on April 7, 2014 at 7:31am

A truly good revelation of chronology and evolution of Big Data . Did not realize that way back in 1940's  -- the concepts were emerging. Can not stop  this train.

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