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

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Presentation transcript:

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

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!

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.

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

TYPES OF WAREHOUSES

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

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

DESIGNING A DATA WAREHOUSE

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

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

TOOLS

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

USER EXPERIENCE

 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

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

RESOURCES

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

RESOURCES  Online resources   EDUCAUSE Star Schema document

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

QUESTIONS & ANSWERS

THANK YOU! Kathy Bronson Trevyn Bowden