A MapR presentation.

1. Hi, how are you?

4. The Augmented
Reality Sandbox

8. “Present on anything. Make it look nice.”

10. Some of the things I considered talking about.

11. A talk that went poorly

12. Not Tom Selleck

13. Beer

14. (I realize this isn’t a topic
you often talk about with a
prospective employer)
But I love beer.

15. Beer, and beer brewing, is complex.

16. …and it’s Big Money
Beer Sold in 2013: 196,241,321 barrels
(or over six billion gallons)
of that
15,302,838 barrels was craft beer
(or nearly 500 million gallons)
all data according to Brewers Association at http://brewersassociation.org

17. $100 Billion Made on Beer Last Year
of that
$14.3 Billion Dollars on Craft Beer
all data according to Brewers Association at http://brewersassociation.org

18. There was a 17.2% increase in craft beer
sales from 2012-2013. Hundreds of new
breweries are opening each year. Big
breweries trying to catch up with own
“craft” brands.
“Craft” is a relatively new market. What to
make? What to sell?
How do we figure it all out?

20. (though, in this case, the dataset isn’t
*that* big)

21. 2000-2012
1.5 million entries
400,000+ users

23. With craft beer on the rise,
so many choices. How to
make them?

24. “Notes on this brew:
Brewed with dirty gym socks, and
pigfeed corn.
May be paired with industrial cleaner to
strengthen its effect"
–MaltLickyWithTheCandy

25. “Look, I don't know what everyone is
bashing...this shit costs like $10 for a 30
pack what do you expect? Golden
ambrosia served in a chalice while angels
whistle on your dong?”
–aheedratron

26. Overall, Trusted
Source

27. Thesis: We can infer what beers we should
brew based on Beer Advocate data.

28. A Quick Note: IPAs are terrible.

29. Some data analysis from the beer advocate stats.

32. When are we drinking?

35. Does the data work?

36. September

37. October

38. So, we’re pretty sure this works. What’s
next?

43. Next Steps

44. Ted Dunning
Anomalous data
Look for the “norm”
Aggregate ratings with current
data, and see if we can find beers
that stand out as having
potential.

45. Next Steps
• Build additional Dashboards that help answer
questions:
• What beers should I brew this month?
• What flavor profiles should I be matching for this
time period?
• What beers have the potential to sell well, but
aren’t being pushed by competitors?

46. A Beginning Toolset

47. Thanks.