Third Nature - Open Source Data Warehousing
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An introductory presentation on open source for data warehousing and business intelligence. Covers some history of open source, projects in different areas, and some information on adoption. You can download this and demo.case study PDFs at http://thirdnature.net/tdwi_osbi_material.html
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Third Nature - Open Source Data Warehousing
- 1. Open Source Data Warehousing Mark Madsen, TDWI Chapter Meeting – Jan. 23, 2008 www.ThirdNature.net Attribution-NonCommercial-No Derivative http://creativecommons.org/licenses/by-nc-nd/3.0/us/
- 5. The First Recorded Patent
- 8. Copyright Continued to Evolve
- 12. Result
- 13. More Innovation Computer + Code = Executable
- 14. More Complaint
- 16. More Results
- 17. Innovation
- 18. Foul!
- 19. Intervention
- 20. Result
- 21. After Each Revolution, the Old Pirates Become the New Establishment Pirate Establishment
- 22. Foul!
- 23. The Supremes!
- 24. Re$ult
- 25. What We Haven’t Learned
- 26. So, What is Open Source?
- 27. What is Open Source?
- 28. What is Open Source?
- 29. What is Open Source?
- 30. What is Commercial Software, Really?
- 31. What Makes Software Open Source? More freedom Academic Licenses Reciprocal Licenses Source Code Licenses Commercial Licenses Less freedom The fuzzy dividing line between open and closed source Freeware Licenses
- 34. If You Want to Learn More
- 36. Innovation Adoption Theory Time Adoption Rate End of Life New innovation
- 37. Adopter Categories Innovators Late Majority Early Majority Early Adopters Laggards
- 38. Market Adoption Time Cumulative Adoption
- 39. Some Ideas Aren’t That Good Product Maturity End of Life Time New innovation
- 40. Curves Can Explain a Lot Time Product Maturity
- 43. Geoffrey Moore’s Category Adoption Model Source: TCG Advisors
- 46. The Data Warehousing Technology Stack Information delivery Dashboards & Scorecards Analytics / OLAP clients Interactive Reporting Standard Reporting Visualization GIS & location Predictive Analytics Search/Discovery Modeling Portal Workflow Infrastructure Operating Systems Servers Integration Management ETL EII EAI EDR Information Management DW/Mart/ODS OLAP servers MDM Data Quality Databases ECM*
- 47. Maturity for OSS Components of the Stack Information delivery Dashboards & Scorecards Analytics / OLAP clients Interactive Reporting Standard Reporting Visualization GIS & location Predictive Analytics Search/Discovery Modeling Portal Workflow Infrastructure Operating Systems Servers Integration Management ETL EII EAI EDR Information Management DW/Mart/ODS OLAP servers MDM Data Quality Databases ECM*
- 53. Open Source Database Use for BI/DW Source: IOUG Open Source in the Enterprise survey
- 57. BI Suites: Jasper Intelligence
- 60. BIRT
- 61. BEE
- 62. BEE
- 63. OLAP: JPivot & Mondrian
- 65. OLAP Dashboard: Palo Interface
- 71. Customization
- 87. Questions?
Hinweis der Redaktion
- New York, January 23, 2008 Open source software (OSS) has become a force in the commercial software industry. Data warehousing is not immune to the impact of open source, with developments in the past year affecting a range of different market segments. We’re still in the early adoption phase for many of the open source business intelligence (BI) technologies, but some are mature enough to be considered. IT organizations are challenged with sorting through OSS to measure the risks, measure the rewards and decide what is worth evaluating. This session will review some existing theory and research on technology adoption to help frame the open source discussion, then discuss the state of OSS projects that affect the BI and DW market. During this session we will cover: Current thought on open source in IT Open source product challenges and advantages Reasons for considering or not considering open source for BI projects Open source alternatives to proprietary software