1. Data Modeling and Prototyping
In Power BI Desktop
Steve Wake, Principal BI Developer, Brown and Caldwell

2. OregonSQL User Group www.OregonSQL.org
Meetings Every 2nd Wednesday, 6:00PM – 9:00PM
1515 SW 5th Ave, Suite 900, Portland

3. Support Our Sponsors

4. Steve Wake Principal BI Developer, Brown and Caldwell
Experienced BI Developer
Full stack Microsoft BI Developer, 20+ years experience. SQL Server 2005 – 2017 SSRS, SSIS and SSAS. Experience with Power BI since “Power” Excel add-ons.
Community Speaker
Steve Wake
Presented at events around the world on various BI topics, including PASS Summit and many SQLSaturdays.
Principal BI Developer, Brown and Caldwell
User Group Chapter Leader
/in/b5lurker
Current leader of the Mile Hi Power BI User Group in Denver. Previously lead the Denver SQL Server User Group and organized 3 SQLSaturdays in Denver.
@stevewake
stevenmwake

5. Agenda Tips & Tricks Q&A Live/Direct/Import Data Connections Demo
Data Modeling
Prototyping in Power BI Desktop
Tips & Tricks
Q&A

6. Live/Direct/Import Data Connections
Live Connection
Available for 3 sources: AS Tabular (on-prem/Azure), AS Multi-Dimensional & Power BI Service dataset Only dataset allowed when selected, since it is already a full model
DirectQuery Connections
Most relational databases and other products (full list) May require On-Premises Data Gateway depending on implementation
Import Connections
Only connection where data is stored in Power BI model Allows combining data from multiple different sources Data has to be refreshed in model to be kept up-to-date

7. Data Connections
Demo
Reference Date Table in DAX and Power BI by SQLBI (Marco Russo)
Data.gov (College Scoreboard – Most Recent Cohorts Scorecard Elements)
collegescorecard.ed.gov (College Scorecard Data Dictionary)
OPE ID (Office of Postsecondary Education Identification) List
Wikipedia – List of States in United States and Abbreviations
Wikipedia – Population of States in United States and Territories

8. Data Modeling Star & Snowflake Schemas Dimensions Facts Measures
Star & Snowflake Schemas
Dimensions
Facts
Measures
Relationships
One to Many (1:M)
Many to Many (M:M)

9. Data Modeling
Demo

10. Prototyping in Power BI Desktop
Power Query (M)
Data connectivity
Data preparation (ETL – Extract, Transform & Load)
DAX (Data Analysis eXpressions)
Data manipulation
Calculations
=SUMX( CALCULATETABLE('InternetSales_USD', 'DateTime'[CalendarYear]=2006) , [SalesAmount_USD])

11. Prototyping in Power BI Desktop
Demo

12. Tips & Tricks Use scheduled refresh/incremental refresh
Tabular models load all data into memory (Import/Dual Tables in PBI)
Data compressed on columns (typically 10:1 or more)
Querying a tabular model works by filtering data using relationships
Import/Dual datasets require refreshing if source data is changing
Use scheduled refresh/incremental refresh
Once published to PowerBI.com a model can be shared in multiple other PBI reports using Live Connection
Power BI Desktop and PowerBI.com run a full featured AS Tabular engine (and Excel 2016+!)

13. Q & A

14. Support Our Sponsors

15. Learn more from Steve
@stevewake