Using agile methods in data warehouse/business intelligence projects. Presentation at workshop at Aalborg Universtity

1. Agile BI/DW Daniel Fagerström [email_address]

3. Developed BI/DW 5 years

4. Led large BI/DW project during last year using Scrum

5. Database lead at alaTest.com

7. Reduce risk

8. Make the project steerable and transparent

9. Make development efficient and fun

10. How?

12. What are the user stories?

13. Agile DB practices?

14. Agile operations?

16. Project cycles

17. Agile planning

18. Agile DB practices

19. Agile operations

21. Agile architecture, dimension models

22. Agile estimation based offering

24. Appropriate HW, SW, test server

25. Involve operations

26. Contact the data source owners

28. Plan

29. Build

31. Develop

32. Demo

38. Dimension model Customer name city Store name region Product name class Date year month ReceiptLine amount

40. Dimension

41. Attributes in the dimension

42. Architecture Customer registry Product registry Org. registry Transactions Raw data Staging Dimension model Marts OLAP Cube Reporting Applications ETL

45. Refresh frequency

47. Using expert analysis tools -> reports

50. Early deployment of usable sub systems

55. Agile modeling

56. Just in time design

57. Agile documentation

59. Subset data

60. Your own DB and development sandbox

61. Staged deployment: dev -> test -> prod

62. Continuous deployment

63. TDD?

65. Operations part of the project

66. Deploy at demo/production server often

67. Start source data deliveries ASAP

70. Transparent

71. Steerable

72. Works great!

73. Happy customers (and developers)!

74. Literature

75. www.danielfagerstrom.com