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Big Data

Big Data. By: John Lawrence, Patrick Fletcher, Travis Stancil , Chasten Caluya. What is Big Data?. http:// www.youtube.com / watch?v =ahZGEusG13A. What is Big Data?.

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Big Data

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  1. Big Data By: John Lawrence, Patrick Fletcher, Travis Stancil, Chasten Caluya

  2. What is Big Data? http://www.youtube.com/watch?v=ahZGEusG13A

  3. What is Big Data? “Big Data is a popular term used to describe the exponential growth and availability of data, both structured and unstructured.” -SAS Institute

  4. The Three “V’s” Volume- Exponentially increasing amounts of data require more comprehensive methods of organization, and interpretation. Velocity- The unprecedented speed with which data is streamed in the modern world requires timely analysis. Variety- Increasingly complex data sources and formats require integration and interpretation into a common intellectual medium in order to make informed decisions.

  5. Additional Dimensions Variability- Inconsistency of data flows marked by periodic peaks/trends whether daily, seasonal, or event-triggered. Complexity- Similar to variety. Data is harvested across multiple sources with differing formats. Must consolidate and integrate these sources to make informed decisions.

  6. Origins and History of Big Data

  7. The First Data Miner • John Gruant (1620-1674) • Bubonic Plague • Bills of Mortality • Refuted beliefs • London’s population

  8. 1989 British computer scientist Tim Bemers-Lee Internet pioneered by U.S. Gov. in the 60’s “Hypertext” system called World Wide Web

  9. 1997 NASA researchers Michael Cox and David Ellsworth “Big Data” Supercomputers generating massive amounts of information

  10. 2002 The U.S. Government mining data to thwart terrorism since the 9/11 attacks. Former National Security Advisor John Poindexter Defense Department

  11. 2004 Wal-Mart boasts a cache of 460 terabytes Customers’ shopping and personal habits 460 terabytes > 2x total data on the internet 1 terabyte = 1,024 gigabytes

  12. May 2009 U.S. President Barack Obama’s Administration data.gov as part of Open Government Initiative More than 445,000 data sets

  13. February 2011 200 million pages of information or 4 terabytes of disk storage IBM’s Watson Computer System (AI) Won quiz show “Jeopardy!”

  14. Digital Revolution Growing number of sensors, digital devices, corporate databases, and social media sites 90% of World’s data generated over the last 2 years (SINTEF, 2013) Marketers to policy makers looking to Big Data

  15. Recent Development

  16. “In 2012, every day 2.5 quintillion bytes of data (1 followed by 18 zeros) are created, with 90% of the world’s data created in the last two years alone” -Maria Conner

  17. Components of Big Data in Business Speed (Velocity)- Rate of data creation Type (Variety)- Use of semi-structured and unstructured data Volume- Ability to derive needed information

  18. Data Production Online Transactions- E-commerce, Stock Trading and Bank Transactions Social Media- Facebook, Twitter, Instagram Mobile Devices- World population to active mobile devices

  19. Processing Large Data Traditional database and computing software Commodity software Parallel processing Non-Relational data storage

  20. Analytic Software Hadoop by Doug Cutting of Yahoo Inspired by Google’s MapReduce; Used to index the web Data processing over large networks of commodity software

  21. Database Management System No SQL compared to SQL Analysis of large unstructured data sets Upgrade over traditional database

  22. Current Use

  23. Why Utilize Big Data To harness relevant data and analyze it with the following objectives: 1) Cost reductions 2) Time reductions 3) New product development and optimized offerings 4) Smarter business decision-making

  24. Switch

  25. Teradata Workload specific platforms Hadoop Data warehouse software Discovery platform Tools and utilities Marketing applications Business consulting services

  26. Cabela’s “…the extract, transform and load process into the SAS data mart was run biweekly, but loading often took as long as two weeks…” “…By the time it was done building, the data could be up to four weeks old, and we'd have to start again…"

  27. Ebay http://www.teradata.com/videos/ebay-conquers-complexity/

  28. Other Companies U.S. Department of Health Resources and Services Administration Zinch and UH Hilo

  29. Future Outlook

  30. Example: IBM Solutions for NYSE http://www.youtube.com/watch?v=YJd62ooBVvI

  31. Security Identify and understand data sensitivity levels Understand impact of data release Develop policies and procedures related to Big Data security and privacy Develop and execute a technical security approach that complements the security of your analytics platform (Smith, 2013).

  32. Talent Gap There will be a shortage of employees who possess the analytical talents organizations need to take advantage of Big Data. • Projected shortage in the United States alone: • 140,000-190,000 analytical specialists • 1.5 million managers who can make decisions based on analytics

  33. Conclusion “As modern businesses seek to not only gain a competitive edge in their respective industries but remain on par with competitors, it becomes essential that management not only recognizes but implements Big Data in their operating environment.  While this will present various challenges including organization of information, security, and analytics, the potential for companies who chose Big Data is exponentially increasing.”

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