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The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
The Reality of Bigdata - #Beltech2014
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The Reality of Bigdata - #Beltech2014

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The Reality of BigData - slides for the keynote at Beltech2014 (4th April 2014) in Belfast. …

The Reality of BigData - slides for the keynote at Beltech2014 (4th April 2014) in Belfast.

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Transcript

  • 1. The Reality of Big Data
  • 2. #beltech2014
  • 3. #1 – What problem are you trying to solve?
  • 4. Most of SME’s problems aren’t Big Data, it’s just data.
  • 5. Without a question you are wasting your time.
  • 6. #2 – Data will need cleaning
  • 7. Roughly 80% of your data project will be getting the data into shape before processing.
  • 8. Btiany Spears
  • 9. #3 – Hadoop, on it’s own, will NOT give you the answers.
  • 10. #3 – Hadoop, on it’s own, will NOT give you the answers. (The Big Data version of “putting it in the cloud”)
  • 11. If anyone says, “will Hadoop just give us the answers” or “put it in the cloud”, do this….
  • 12. Spit on one, or both, of their feet and bite your thumb while shouting: “The fig of Spain!”.
  • 13. #4 – Do you actually need Hadoop?
  • 14. A well crafted algorithm may give you more benefit.
  • 15. It’s about knowing the right questions.
  • 16. And refining and refining and refining…..
  • 17. The first run won't work at all The second only makes you wonder The third will have you on your knees.....
  • 18. #5 – Data changes
  • 19. …especially when you don’t own it.
  • 20. If you feel your data has value then retain it.
  • 21. If your data passes over the “creepy line” then definitely retain it.
  • 22. #6 – Skills are in short supply
  • 23. Work with what you have.
  • 24. Play with data, it’s the best way to learn.
  • 25. Collaborate with others to fill the skills gaps.
  • 26. Thank you http://about.me/jasebell @hadooping

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