The document discusses databases versus data warehousing. It notes that databases are for operational purposes like storage and retrieval for applications, while data warehouses are used for informational purposes like business reporting and analysis. A data warehouse contains integrated, subject-oriented data from multiple sources that is used to support management decisions.

1. Data Warehousing Denise Jeffries [email_address] [email_address] 205.747.3301

17. http://www.inmoncif.com/library/cif/

21. Entity Relationship Diagrams example 3 rd normal form

23. Star Schema example (Sales db)

26. Snowflake Schema example (Sales db)

29. Basic EDW Data Model Design Party Account Product & Service Event Each represents a subject area in the model, with third normal tables to accommodate the data and its relationships with hierarchy

30. Account, Customer & Address Relationships Account Contact Party Address link Account Party link Address Account Party Account Information loaded from ALL Source Systems ETL process builds the relationship between Accounts and Customers (Party) based on the relationship file from CUSTOMER CRM SYSTEM

36. State of many mature companies

37. EDW Process State Staging Area EDW Metadata | Data Governance | Data Management DM CPS MANTAS CRDB MKTG FIN SALES EDW Data cleansing Data profiling Sync & Sort BI Source System Cleanse / Pre-process IMP RM OEC ALS AFS ST RE DFP SBA AFS V-PR

38. Information Factory Concept

43. DW needs to be extendable, align with business structure http://www.sserve.com/ftp/dwintro.doc

44. Enterprise Data Solution Data Marts and OLAP Enterprise Data Warehouse Source Systems Reporting Data Mining OLAP Analysis Dashboard Scorecard Master Data Management Application Master / Reference Data Store

45. EDW - Objective Follow the process methodology to achieve these architectural aspects : Meta Data, Security, Scalability, Reliability and Supportability

46. EDW – Data Model Design Party Account Product & Service Event Each represents the subject area we have in the model, with third normal tables to accommodate the data and its relationships with hierarchy

47. Account, Customer & Address Relationships Account Contact Party Address link Account Party link Address Account Party Account Information loaded from ALL Source Systems Customer Information Loaded EDW ETL process builds the relationship between Account and Customers based on the relationship file from RM

50. Example of conforming data for business view: http://www.sserve.com/ftp/dwintro.doc

52. EDW – Process Flow

53. EDW ETL Design Source to Stage Mapping (For AFS) Stage to EDW Mapping (for AFS) EDW to FDM Mapping (for FACT)

57. Reconciliation Overview (EDW-data mart)

58. EDW Data Flow

59. EDW – Security Scheme Database User/Schema Unix User

60. EDW - Infrastructure Development Environment Production Environment

61. EDW – Development (SDLC)

62. EDW Development Project Cycle (New Source to EDW)

63. EDW – Support – Escalation Procedure

64. EDW – Support Process

65. EDW - Roadmap Management Architecture (Metadata, Data Security, Systems Management)

72. Data Profiling Example

74. Data Quality Tools (Gartner Magic Quadrant)

75. Dimensions of Quality Informatica.com

85. Measurement Informatica.com

92. BI Tools

93. BICC

94. Jobs in Data Warehousing

95. Certifications in DW