0
The Team• Jim Blomo (@JimBlomo)– Big Data @ Yelp– Amazon, Pbworks– Lecturer @ UC Berkeley– He likes Distributed systems, s...
TRY IT @ WWW.SISENSE.COM
www.crunchbase.sisense.com
!@SiSense
1DATA SKILLS
Little Bit of That…
Little Bit of This…
Favorite Data Scientist Hire?
Source: Drew ConwayLittle Bit of This…
Little Bit of This…http://bit.ly/dssurvey
2STARTING FROMSCRATCH?
Starting from SCRATCH?
Starting from CRAP?
The Team• Jim Blomo (@JimBlomo)– Big Data @ Yelp– Amazon, Pbworks– Lecturer @ UC Berkeley– He likes Distributed systems, s...
3SAME DIFF?
WHAT’S WHAT?
Big different from…?
The Team• Jim Blomo (@JimBlomo)– Big Data @ Yelp– Amazon, Pbworks– Lecturer @ UC Berkeley– He likes Distributed systems, s...
4FEATURE FEST?
What feature…?
What feature…?
The Team• Jim Blomo (@JimBlomo)– Big Data @ Yelp– Amazon, Pbworks– Lecturer @ UC Berkeley– He likes Distributed systems, s...
TRY IT @ WWW.SISENSE.COM
Get Real About Big Data
Get Real About Big Data
Get Real About Big Data
Get Real About Big Data
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Get Real About Big Data

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This presentation was used at the Big Data Day at the Computer History Museum on June 7.

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Transcript of "Get Real About Big Data"

  1. 1. The Team• Jim Blomo (@JimBlomo)– Big Data @ Yelp– Amazon, Pbworks– Lecturer @ UC Berkeley– He likes Distributed systems, startups, fitness, andwhatever else youve got.• Dave Mariani (@Dmariani, Klout 144)– Big Data @ Yahoo!– Blue Lithium, MindeShare– Klout: 30B calls/month, Yahoo!: 20TB/Day acrossmultiple 4,000 node Hadoop clusters
  2. 2. TRY IT @ WWW.SISENSE.COM
  3. 3. www.crunchbase.sisense.com
  4. 4. !@SiSense
  5. 5. 1DATA SKILLS
  6. 6. Little Bit of That…
  7. 7. Little Bit of This…
  8. 8. Favorite Data Scientist Hire?
  9. 9. Source: Drew ConwayLittle Bit of This…
  10. 10. Little Bit of This…http://bit.ly/dssurvey
  11. 11. 2STARTING FROMSCRATCH?
  12. 12. Starting from SCRATCH?
  13. 13. Starting from CRAP?
  14. 14. The Team• Jim Blomo (@JimBlomo)– Big Data @ Yelp– Amazon, Pbworks– Lecturer @ UC Berkeley– He likes Distributed systems, startups, fitness, andwhatever else youve got.• Dave Mariani (@Dmariani, Klout 144)– Big Data @ Yahoo!– Blue Lithium, MindeShare– Klout: 30B calls/month, Yahoo!: 20TB/Day acrossmultiple 4,000 node Hadoop clusters
  15. 15. 3SAME DIFF?
  16. 16. WHAT’S WHAT?
  17. 17. Big different from…?
  18. 18. The Team• Jim Blomo (@JimBlomo)– Big Data @ Yelp– Amazon, Pbworks– Lecturer @ UC Berkeley– He likes Distributed systems, startups, fitness, andwhatever else youve got.• Dave Mariani (@Dmariani, Klout 144)– Big Data @ Yahoo!– Blue Lithium, MindeShare– Klout: 30B calls/month, Yahoo!: 20TB/Day acrossmultiple 4,000 node Hadoop clusters
  19. 19. 4FEATURE FEST?
  20. 20. What feature…?
  21. 21. What feature…?
  22. 22. The Team• Jim Blomo (@JimBlomo)– Big Data @ Yelp– Amazon, Pbworks– Lecturer @ UC Berkeley– He likes Distributed systems, startups, fitness, andwhatever else youve got.• Dave Mariani (@Dmariani, Klout 144)– Big Data @ Yahoo!– Blue Lithium, MindeShare– Klout: 30B calls/month, Yahoo!: 20TB/Day acrossmultiple 4,000 node Hadoop clusters
  23. 23. TRY IT @ WWW.SISENSE.COM
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