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BIG DATA

BIG DATA. Nicolas Munoz. Topics. What is Big Data? Benefits & Drawbacks How does it work? Companies doing Big Data Market for Big Data Applications of Big Data Future of Big Data Questions?. What is Big Data?. Large, complex collection of data sets

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BIG DATA

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  1. BIG DATA Nicolas Munoz

  2. Topics • What is Big Data? • Benefits & Drawbacks • How does it work? • Companies doing Big Data • Market for Big Data • Applications of Big Data • Future of Big Data • Questions?

  3. What is Big Data? • Large, complex collection of data sets • Exponential growth and availability of data

  4. What is Big Data?

  5. Topics • What is Big Data? • Benefits & Drawbacks • How does it work? • Companies doing Big Data • Market for Big Data • Applications of Big Data • Future of Big Data • Questions?

  6. Benefits & Drawbacks • Benefits • Faster analysis of data • Complex analysis becomes feasible • Cheaper systems • Drawbacks • Random correlations may be found • Difficult to implement/convert to from old systems

  7. Topics • What is Big Data? • Benefits & Drawbacks • How does it work? • Companies doing Big Data • Market for Big Data • Applications of Big Data • Future of Big Data • Questions?

  8. How does Big Data work? • Network of servers • Each server stores part of the data • Servers work in parallel during analysis • Divide and conquer algorithms • MapReduce • NoSQL/Non-relational database

  9. Topics • What is Big Data? • Benefits & Drawbacks • How does it work? • Companies doing Big Data • Market for Big Data • Applications of Big Data • Future of Big Data • Questions?

  10. Companies doing Big Data

  11. Topics • What is Big Data? • Benefits & Drawbacks • How does it work? • Companies doing Big Data • Market for Big Data • Applications of Big Data • Future of Big Data • Questions?

  12. Market for Big Data • $16.4 Billion industry • Growing 6x faster than general IT market • McKinsey 2013 report: 1.5 million data-literate managers needed in United States • Every industry can benefit from using Big Data

  13. Topics • What is Big Data? • Benefits & Drawbacks • How does it work? • Companies doing Big Data • Market for Big Data • Applications of Big Data • Future of Big Data • Questions?

  14. Applications of Big Data • Automotive • Connected vehicles • Improve safety; performance • Healthcare • 80% of medical data is unstructured and clinically relevant • Legislative pressure to reduce cost of health care • Science • LHC (Large Hadron Collider) • 100 collisions of interest per second • Finance • Improve accuracy and speed of financial predictions • Integrating social media feeds into financial analysis

  15. Topics • What is Big Data? • Benefits & Drawbacks • How does it work? • Companies doing Big Data • Market for Big Data • Applications of Big Data • Future of Big Data • Questions?

  16. Future of Big Data • Exponential growth of data • On-demand, real-time, advanced analytics • Full integration of different systems • Enhanced security • Fully personalized experiences

  17. Questions? ?

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