1. Taking Analysis Services Tabular to Enterprise Levels Stacia Varga Data Inspirations

2. Stacia (Misner) Varga
Over 30 years of IT experience, 17 years of BI experience
Frequently speaks, writes, and teaches about Microsoft BI technologies
Principal Consultant and Founder, Data Inspirations
Data Platform MVP and SSAS Maestro
Las Vegas User Group Chapter Leader and SQL Saturday Organizer
Wants you to make sure you can understand what your data is telling you

3. Agenda
Query Performance
Modeling
DAX Formulas
Management
#ITDEVCON

4. Query Performance

5. DAX Optimizations for Power BI
Pre SQL Server 2016
SQL Server 2016
1 trip
But…
Simple measures required
100s of round trips!
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6. New Efficiencies Variables Conditional expressions
Nonempty calculations
Multiple measures in same table
Measure grouping
Joins
Multiple result sets
Countrows()
Available in all client tools!
#ITDevConnections

7. Storage Engine Caching
Pre SQL Server 2016
SQL Server 2016
One cache for all databases
One cache PER database
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8. DirectQuery Pre SQL Server 2016 SQL Server 2016 Inefficient Simpler,
T-SQL
queries
Simpler,
better
queries
#ITDevConnections

9. Why Use DirectQuery? Real-time data requirements
Data volume greater than available server memory
Database security requirements
#ITDevConnections

10. Why Not Use DirectQuery?
No support for calculated columns or tables
No support for pasted tables
Some DAX functions don’t translate to T-SQL
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11. Modeling

12. More DirectQuery Sources
Pre SQL Server 2016
SQL Server 2016
SQL Server 2005 or higher
SQL 2008 or higher
Azure SQL Database
Analytics Platform System
Oracle 9i, 10g, 11g, and 12g
Teradata V2R6, V2

13. DirectQuery Modeling Faster development Work only with metadata
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14. Sample Data for DirectQuery Modeling
Create a temporary partition
Define WHERE clause to define subset
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15. Calculated Table Use a DAX function or query to return a table
Use the table in relationships and calculations
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16. Bi-Directional Cross-Filtering
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17. Translations Generate empty JSON translation file
Add translated text to JSON file
Import JSON file into tabular model
Build, process, or deploy model
Use client allowing LCID in connection string
#ITDevConnections

18. Translations
Model requires translatedCaption and translatedDescription

19. DAX Formulas

20. Save incomplete formula
DAX Formula Editor
Syntax coloring
IntelliSense
Formatting
Formula fixup
Save incomplete formula
#ITDevConnections

21. New DAX Functions…Just a Few
Calendar() and CalendarAuto()
DateDiff()
Median()
Many statistical functions
Beta.Dist()
Chisq.Inv()
Expon.Dist()
And trig… and filters... And more...
#ITDevConnections

22. DAX Variables
Non Bikes Sales Under $50 % of Total:= var tNonBikes = filter(values(Category[CategoryName]), Category[CategoryName]<> "Bikes") NonBikeSalesUnder50 = sumx(tNonBikes, calculate(sum([SalesAmount]),'Internet Sales'[UnitPrice]<50)) NonBikeAllSales = sumx(tNonBikes, calculate(sum([SalesAmount]))) return NonBikeSalesUnder50 / NonBikeAllSales
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23. management

24. Partition Processing Pre SQL Server 2016 SQL Server 2016
Process each partition
serially
Process partitions in parallel (default)
#ITDevConnections

25. Extended Events Create session (SSMS) Select events and event fields
Stream live or persist to file
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Select the session from the Agenda or Speakers menus
Select the Actions tab
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