ビッグデータはどこまで効率化できるか？
DESCRIPTION
第3回ビッグデータと統計学研究集会@統計数理研究所における「ビッグデータはどこまで効率化できるか？」の資料です（2013/05/27） http://dsms.iic.hokudai.ac.jp/BIGDATA/%E7%A0%94%E7%A9%B6%E9%9B%86%E4%BC%9A/3rd/TRANSCRIPT
- 1. Preferred Infrastructure Jubatus 2013/05/27 3
2. 3 3 IT 3. l l l l Agenda 4. l IBM2012 l 24% l 47% l 6% l IBM Institute of Business Value Analytics: The real-world use of big data, 2013 5. Volume Variety Velocity 5 Complex Event Processing Hadoop NoSQL M2M 6. 6 SQL DWH BI CEP M/RCQL (Machine Learning) 7. 7 8. 8 DB 9. 3 IT 2 3 l 1 l 2 l 3 10. 1 l l l IT CAO 11. 2 l l IT l 12. 3 l l l l PM l l PDCA 13. l Communication Skill Business Understanding Project Management 14. l l l ( ) PFI 2013/03/28 Preferred Infrastructure Jubatus Slideshare PFI 2012/09/13 Preferred Infrastructure Jubatus 15. l l l l Agenda 16. 3 IT 17. RDB / NoSQL Hadoop / SQL-like Analytics 18. [ w/ Hadoop+R+Weka, 2013] DB 19. [ENIAC, 1946] wikipedia.org l l l 20. l SPSS: 1975- l Matlab: 1984- l Weka: 1993- l GNU R: 1996- l S 1984- RDB / NoSQL Hadoop / SQL-like Analytics 21. 22. l l l 23. l l l l Agenda 24. l l l l l GUIUI l l l l SaaS l UI l 25. l l QlikView l Tableau l l Fivetran l l bigML l Bazil l l MLbase 26. (1/2) QlikTech - QliKview (1996-) l BI l l l 27. (2/2) Tableau (2003-) l VizQL l Amazon EC2 l 28. Fivetran (2013-) l l ExcelMatlab l l l Invitation 29. (1/2) bigML (2012-) l Machine Learning for Everyone l l l 30. / Web (2/2) Preferred Infrastructure - Bazil (2013-) l l l l 31. UC Berkley - MLbase (2013-) l l [Kraska+, CIDR2013] 32. l l l l Excel BI CognosBusinessObjects DB QlikViewTableau RMATLAB bigMLBazil 33. l l l l Agenda 34. l l l IT l