1. DATA WAREHOUSING TECHNIQUES ROUNDTABLE Kathy Bronson Trevyn Bowden Clackamas Communtiy College 7/2016 Information Technology Forest Grove, Oregon NWEUG 2016

2. SESSION RULES OF ETIQUETTE  Please turn off your cell phone/pager  If you must leave the session early, please do so as discreetly as possible  Please avoid side conversation during the session Thank you for your cooperation!

3. INTRODUCTION  What is a data warehouse?  Analysis and design of a data warehouse. Types of warehouses. Data models for warehousing.  What are other schools doing for reporting? Learn about more advanced tools people could use for reporting.

4. SESSION AGENDA 1. Types of Data Warehouses 2. Analysis and Design of a Data Warehouse 3. Tools 4. Different User Experiences 5. Resources

5. TYPES OF WAREHOUSES

6.  Different types of warehouses  Data marts only  Star Schema  Kimball vs Inmon

7. TYPES OF WAREHOUSES  What is a star schema and what are the advantages?  Fact tables and dimension tables  Examples  Grain of the star schema  Date Dimension, Factless fact table and other star schema techniques

8. DESIGNING A DATA WAREHOUSE

9.  Focus on business needs  Who to include  Warehouse architecture  Top down vs bottom up  Star schema/data mart driven  Frequency of data loads

10. DESIGNING A DATA WAREHOUSE  Multiple sources of data  Duplicate detection  Conformance  Data analysis and auditing  Sanity checking  Data cleanliness  Handling bad data

11. TOOLS

12.  ETL  Custom vs Out of the box  Custom scripts  WhereScape  Security  Analysis Services

13. USER EXPERIENCE

14.  Possible levels of users doing reporting  Able to create SQL and data marts  Able to create reports  Run more modifiable report  Run only simple parameter reports

15. USER EXPERIENCE  Excel  Datamarts  Reporting Tools  Reporting Services  Tableau  Power BI  Others

16. RESOURCES

17.  Books  Kimball books  The Data Warehouse Toolkit by Ralph Kimball  Star Schema The Complete Reference By Christopher Adamson

18. RESOURCES  Online resources  http://www.kimballgroup.com/  EDUCAUSE Star Schema document

19. SESSION SUMMARY  Many data warehouses are just sets of Data Marts  If you want to take it to the next level, look at star schemas  Make sure to make it business driven  Allow for different levels of report users  Provide plenty of time for analysis and implementation

20. QUESTIONS & ANSWERS

21. THANK YOU! Kathy Bronson kathyb@clackamas.edu Trevyn Bowden trevyn.bowden@clackamas.edu