Professional Data - Wrestling Techniques Using Elasticsearch's Aggregation Framework

Professional Data - Wrestling Techniques Using Elasticsearch's Aggregation Framework

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Optimised for real time

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Professional Data - Wrestling Techniques Using Elasticsearch's Aggregation Framework

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  1. 1 Introduction
  2. 2 Search interface 20
  3. 3 Analytics interface of today
  4. 4 Optimised for real time
  5. 5 Worked examples
  6. 6 UK Housing data: percentiles
  7. 7 UK Housing data: terms
  8. 8 Geo as a common link between datasets: housing crime
  9. 9 Connected data: Enron emails
  10. 10 Recommendations: MovieLens data
  11. 11 Random samples should hold no surprises
  12. 12 Non random sample: people who liked Talladega nights
  13. 13 Problem: avoid analysis of poorly focused sets
  14. 14 How do we get a smaller, representative sample of users?
  15. 15 Putting search and analytics together..
  16. 16 Amazon marketplace reviews
  17. 17 Anatomy of an entity indexing groovy script
  18. 18 Drilling down into seller #187's fanboys
  19. 19 UK car roadworthiness test: raw data
  20. 20 Derived car attributes
  21. 21 Miles driven vs number of days for fix
  22. 22 In summary
  23. 23 Questions?

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