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Basics of Big Data

Everything you should know about Big Data

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Basics of Big Data

  1. 1. Big Data
  2. 2. It wasn’t very long ago when a terabyte was considered large.
  3. 3. But now, that seems like a rounding error. Today, we create 2.5 quintillion bytes of data every day.
  4. 4. We’re creating so much data so quickly that 90 % of the data in the world today has been created in the last 2 years alone.
  5. 5. Ok Got it.. So, What is Big Data??
  6. 6. Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand DBMS tools or traditional data processing applications.
  7. 7. Big data is difficult/impossible to work in DBMS packages,
  8. 8. Instead it requires "massively parallel software running on thousands of servers".
  9. 9. Big data is made of structured and unstructured information.
  10. 10. 10% are structured and 90% are unstructured like emails, videos, facebook posts, website clicks etc.
  11. 11. Four Vs of Big Data
  12. 12. Volume, Variety, Velocity & Veracity
  13. 13. The volume of data grows, we can learn more – but only if we uncover the meaningful relationships and patterns. Volume
  14. 14. From the endless streams of text data in social networking and geolocation data, to structured wallet share and demographics, companies are capturing a more diverse set of data than ever. Variety
  15. 15. The business is accelerating. The data is coming faster than ever. Data shelf life is short. Velocity
  16. 16. Veracity addresses the inherent trustworthiness of data. The uncertainty about the consistency or completeness of data and other ambiguities can become major obstacles. Veracity
  17. 17. Please share this presentation Created / Compiled / Curated By Uttam Shrestha Find me more at: