1. Data Warehousing: Data Marting and Metadata DATA WAREHOUSING IN THE REAL WORLDChapters 6 – 9 Sam Anahory Dennis Murray Presented by Lance Kelson10/25/00

2. Data Warehousing: Data Marting and Metadata Chapter 6: PARTITIONING STRATEGY Chapter 7: AGGREGATIONS Chapter 8: DATA MARTING Chapter 9: METADATA

3. Data Warehousing: Data Marting and Metadata Chapter 6: PARTITIONING STRATEGY Horizontal

4. Data Warehousing: Data Marting and Metadata Chapter 6: PARTITIONING STRATEGY Vertical –Normalization –Row Splitting Machine –Striping Data Across MPP Nodes –Horizontal

5. Data Warehousing: Data Marting and Metadata Chapter 7: AGGREGATIONS Purpose: Balance Operating Effort with Query Times Approx 70% Query Times Reasonable Start w/50, End Up w/200 Min, Max, Avg Most Common Grouping

6. Data Warehousing: Data Marting and Metadata Chapter 8: DATA MARTING Purpose: PERFORMANCE!

7. Data Warehousing: Data Marting and Metadata Chapter 9: METADATA Purpose: Data Transformation and Load Data Management Query Generation

8. Data Warehousing: Data Marting and Metadata Chapter 9: METADATA Data Transformation and Load Source Destination Transformation

9. Data Warehousing: Data Marting and Metadata Chapter 9: METADATA Data Management Tables Indexes Views Constraints Fields Tables Aggregations Partitions

10. Data Warehousing: Data Marting and Metadata Chapter 9: METADATA Query Generation Records Queries : Tables Restrictions Joins Aggregations Group By Sort By Syntax Resources When, Who