Big Data Origins
by Hu Yoshida on Apr 26, 2012
Wikipedia attributes the concept of big data as follows:
In a 2001 research reportand related conference presentations, then META Group (now Gartner) analyst, Doug Laney, defined data growth challenges (and opportunities) as being three-dimensional, i.e. increasing volume (amount of data), velocity (speed of data in/out), and variety (range of data types, sources). Gartner continues to use this model for describing big data.
IDC uses these same parameters of volume, velocity and variety, and also adds value as a fourth dimension (source: IDC http://www.idc.com/getdoc.jsp?containerId=IDC_P23177)
The objective of big data is to provide more strategic value from the massive and varied data being produced today and ultimately produce even greater value to the organization or to society as a whole.
The idea of big data has been around for some time. The most notable examples of big data practitioners are Amazon and Google who mine click streams for ad placement. Other examples are Walmart and 7-Eleven for stocking and promotion. These companies have distinguished themselves from their competition through the value of big data.
Last month Time magazine quoted Ray Kurzwell, a well known futurist as saying “A kid in Africa with a smart phone has access to more information than the President of the U.S. 15 years ago.”
If a child in Africa has access to more information today than President Clinton did in 1997, how much more information is available to businesses today? And are they getting value from that information?
It is no longer enough to be a storage company. As Hitachi Data Systems, we need to be in the business of helping our customers collect, consolidate, consume and analyze data for to create actionable information.
In the next few posts I will be discussing how we support the attributes of big data: volume, velocity, variety and value. I would also like to get feedback on what others are doing in this area.
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