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Mining Big Data in Real Time
Mining Big Data in Real Time
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Big data

  1. 1. BIG DATA Presented by GOPICHAND.N MCA 5 SEM KRISHNA UNIVERSITY MACHILIPATNAM
  2. 2. DATA
  3. 3. Big Data
  4. 4. Content 1. Introduction 2. What is Big Data 3. Characteristic of Big Data 4. Storing, selecting and processing of Big Data 5. Why Big Data 6. How it is Different 7. Big Data sources 8. Tools used in Big Data 9. Application of Big Data 10. Risks of Big Data 11. Benefits of Big Data 12. How Big Data Impact on IT 13. Future of Big Data
  5. 5. Application Of Big Data analytics Homeland Security Smarter Healthcare Multi-channel sales Telecom Manufacturing Traffic Control Trading Analytics Search Quality
  6. 6. Introduction
  7. 7. BIG DATA EVALUATION
  8. 8. Big Data sources
  9. 9. Types Of Big Data
  10. 10. Big Data Market
  11. 11. Three Characteristics of Big Data
  12. 12. Storing, selecting and processing of Big Data
  13. 13. The Structure of Big Data Structured • Most traditional data sources Semi-structured • Many sources of big data Unstructured • Video data, audio data
  14. 14. The Structure of Big Data
  15. 15. Big Data Using In The World
  16. 16. Big Data Using In The World
  17. 17. Big Data Using In The World
  18. 18. The World Population
  19. 19. Risks of Big Data • Will be so overwhelmed • Need the right people and solve the right problems • Costs escalate too fast • Isn’t necessary to capture 100% • Many sources of big data is privacy • self-regulation • Legal regulation 19
  20. 20. Leading Technology Vendors Example Vendors • IBM – Netezza • EMC – Greenplum • Oracle – Exadata Commonality • MPP architectures • Commodity Hardware • RDBMS based • Full SQL compliance
  21. 21. Big Data In India
  22. 22. Future of Big Data • $15 billion on software firms only specializing in data management and analytics. • This industry on its own is worth more than $100 billion and growing at almost 10% a year which is roughly twice as fast as the software business as a whole. • In February 2012, the open source analyst firm Wikibon released the first market forecast for Big Data , listing $5.1B revenue in 2012 with growth to $53.4B in 2017 • The McKinsey Global Institute estimates that data volume is growing 40% per year, and will grow 44x between 2009 and 2020.
  23. 23. References • www.Slideshare.com • www.wikipedia.com • www.computereducation.org • Books-  Big Data by- Viktor Mayer-Schonberger.
  24. 24. GIVE ME ANY SUGISITIONS Gopichand.naragam@gmail.com

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