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#dido12 presentation
- 2. Big Data?
- 3. Big Data?
- 4. Big Data?
- 5. Big Data?
- 6. Hadoop?
- 7. Hadoop?
- 8. Hadoop?
- 9. Hadoop?
- 10. Doing Big Data Collecting / obtaining data: •Forget about retention policy •Storage is cheap (it really is!) •Keep all of it online (or at least almost all) •Make it scalable (no manual processes)
- 11. Doing Big Data Clean: •Data is always a mess •Don’t treat it as an expception •Make it your problem
- 12. Doing Big Data Explore: •Think about products, not insights per se •90% people / 10% tools •Support ad hoc querying •Never assume •This is where the fancy charts come in •Never assume
- 19. Doing Big Data Model: •What do I want to predict •Keep it simple (let the data work) •Think about scale
- 20. Doing Big Data
- 21. Doing Big Data Build: •Build functionality •Think about scale, once more •A dashboard is not a data driven solution
- 22. Doing Big Data
- 23. Q&A @fzk fvanvollenhoven@xebia.com