Presentation at #DiDo, 2013-04-04.

1. @fzk
fvanvollenhoven@xebia.com

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