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Big Data | Small Problems
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Big Data | Small Problems

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Given at OSCON 2011. Version with notes available here: http://dl.dropbox.com/u/348446/big-data-small-problems_with-notes.pdf

Given at OSCON 2011. Version with notes available here: http://dl.dropbox.com/u/348446/big-data-small-problems_with-notes.pdf

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Transcript

  • 1. Big SmallData ProblemsA PRESENTATION BY @timangladEFROM YOUR FRIENDS AT @cloudant
  • 2. NOSQL SUmmer .orgNOSQL TApes.com
  • 3. Big DataBig EFFING DEAL
  • 4. Do we need to goover this again?Look out! HE’s got GRAPHS!
  • 5. Consumer Cost per GB1,000,000 100,000 10,000 1,000 100 10 1 1981 1985 1990 1994 1998 2003 2007 Sources: Ivan Smith + IDC, 2008
  • 6. WorldWIDE STORAGE CAPACITY / CAPITA 50,000 37,500 25,000 12,500 0 1986 1994 2002 2010Source: The World’s Technological Capacity to Store, Communicate, and Compute Information, Hilbert, et al. Science 1 April 2011: 60-65.
  • 7. Just Data SIZE?if I’m asking, you probably know the answer!
  • 8. The Big Data Trifecta 1. Gigabytes 2. IOPS 3. DOLLARS
  • 9. Why NOW?
  • 10. Just technology?
  • 11. What Ails US…
  • 12. AILMENT #1Digital Disconnect
  • 13. AILMENT #2DimensionalOVERLOAD
  • 14. AILMENT #3Infobesity
  • 15. Text
  • 16. AILMENT #4DeterminismDISORDER
  • 17. AILMENT #5YEARNINGFOR MEANING
  • 18. AILMENT #6REVOLUTIONDELUSION
  • 19. AILMENT #7BUBBLYBUZZWORDBUG
  • 20. AILMENT #8BLACK BOX
  • 21. AILMENT #9CARGO CULTS
  • 22. AILMENT #10SCALE-OIL SALESMEN
  • 23. How do IBig DATA?
  • 24. RULE #1PAPER / Practice
  • 25. RULE #2Only UseNOSQL (or Newsql)if you have to.
  • 26. RULE #3Distribution modelDATA MODELDISK STRUCTURE
  • 27. RULE #4CATCHY PHRASESARE RED HERRINGS
  • 28. RULE #5WHO DO YOU TRUST?
  • 29. A Word aboutRELATIONAL SYSTEMS
  • 30. A Word aboutSWITCHING
  • 31. NOSQL / NewSQL
  • 32. Did we reallyNEED A SEQUEL?
  • 33. Did we reallyNEED A REMAKE?
  • 34. NEWSQL
  • 35. VoltdbClustrixGenieDBXEROUNDDrizzleAzureAMAZON RDS
  • 36. I CAN HAZPARTITIONTOLERANCE?
  • 37. NewSQLis about BEING…IT-FriendlyCompliance-Friendly
  • 38. NOSQL
  • 39. MongodbCouchdbRIAKCassandraNEO4J(BigCOUCH)Redis?Hadoop?
  • 40. 3 NOSQL TRENDS
  • 41. TREND #180% vs. 20%
  • 42. 80% Databases
  • 43. 20% Databases
  • 44. ALSO Hadoop REDIS
  • 45. TREND #2Storage Separation
  • 46. You GOTYOUR CASSANDRAIN MY HADOOP
  • 47. You GOTYOUR ACUNUIN MY CASSANDRA
  • 48. You GOTYOUR LEVELDBIN MY RIAK
  • 49. TREND #3Ease of ACCESS
  • 50. Riak SeARCH PIPE SECONDARY IND.CLOUDANT SEARCHCASSANDRA CQL
  • 51. NOSQLis about…Dev-FriendlyOPS-Friendly
  • 52. .com
  • 53. Thank You@timangladetim@cloudant.com