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A Short History of Big Data

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Learn more about the history of big data, where the concept comes from, and where it stands today.

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A Short History of Big Data

  1. 1. A Short History of BIG DATA
  2. 2. 1944 16years EVERY Fremont Rider, Wesleyan University Librarian, publishes The Scholar and the Future of the Research Library. He estimates that American university libraries were doubling in size every sixteen years. X 2 Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com
  3. 3. 1967 The “information explosion” noted in recent years makes it essential that storage requirements for all information be kept to a minimum. A fully automatic and rapid three-part compressor which can be used with “any” body of information to greatly reduce slow external storage requirements and to increase the rate of information transmission through a computer is described in this paper. Automatic Data Compression published by B. A. Marron & Paul de Maine from the Abstract Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com
  4. 4. 1980 “I believe that large amounts of data are being retained because users have no way of identifying obsolete data; the penalties for storing obsolete data are less apparent than are the penalties for discarding potentially useful data.” I.A. Tjomsland gives the talk titled “Where Do We Go From Here?” Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com
  5. 5. 1996 Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com Digital storage becomes more cost-effective for storing data than paper VS
  6. 6. 1997 Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com The term big data is used for the first time in publication “Application-controlled demand paging for out-of- core visualization”
  7. 7. 1998 Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com 400% 1997 1998 1999 2000 GROWTH RATE OF INTERNET 200% 0% Data Traffic Voice Traffic by 2002 “The Size and Growth Rate of the Internet.”
  8. 8. 1999 Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com ≈ 1.5 Study finds that in 1999 the world produced exabytes of unique information X 250 exabytes of unique information For every man, woman, and child
  9. 9. 2001 Volume Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com Velocity Variety Doug Laney, an analyst with the Meta Group, coins the 3 V’s“3D Data Management: Controlling Data Volume, Velocity, and Variety.”
  10. 10. 2002 Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com In 2002, digital information storage surpassed non-digital for the first time
  11. 11. Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com Database management is a core competency of Web 2.0 companies, so much so that we have sometimes referred to these applications as ‘infoware’ rather than merely software.” Tim O’Reilly - “What is Web 2.0”
  12. 12. 2011 Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com 1986 2007 + 25% per year “The World’s Technological Capacity to Store, Communicate, and Compute Information” 99.2% of all storage capacity was analog 94% of storage capacity was digital VS
  13. 13. 2012 Facts taken from A Very Short History Of Big Data by Gil Press – Forbes.com Big Data is defined in “Critical Questions for Big Data” as a cultural, technological, and scholarly phenomenon that rests on the interplay of: 1. Technology: maximizing computation power and algorithmic accuracy to gather, analyze, link, and compare large data sets 2. Analysis: drawing on large data sets to identify patterns in order to make economic, social, technical, and legal claims. 3. Mythology: the widespread belief that large data sets offer a higher form of intelligence and knowledge that can generate insights that were previously impossible, with the aura of truth, objectivity, and accuracy.
  14. 14. 2013 Facts taken from TATA Consultancy Services SALES MARKETING CUSTOMER SERVICE R&D IT MANUFACTURING FINANCE LOGISTICS HR 15.2% 15% 13.3% 11.3% 11.1% 8.3% 7.7% 6.7% 5% Where Are Companies Focusing Big Data Professionals Who Analyze Big Data In an IT Function In Business Functions That Use the Data In a Separate Big Data Group
  15. 15. 2013 Introducing Observato™  Independent Data Archive  Complete Transaction Record  Multi-system Data Tracking/History  Fully Compliant  Data Reporting  Easy to Navigate UI Helping businesses manage their big data, in a big way.
  16. 16. This SlideShare is a visual presentation of the article “A Very Short History of Big Data” by Gil Press, taken from Forbes.com. Additional sources are cited within the text. Realise Data Systems is a business solution technology provider that specializes in workforce management system integrations and offers a one-of-a-kind data tracking application called Observato. Our mission is to transform service organizations worldwide with independent, professional, and trustworthy implementation, consulting, and enterprise auditing services that will improve efficiency and help to deliver first-class customer service. Please visit www.realisedatasystems.com/observato for more information.

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