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      • Optimizing DAX
      Optimizing DAX
      • 1. Presentation of Optimizing DAX
        1
        • Lecture1.1
          1.1 Presentation of Optimizing DAX
      • 2. Exercises, slides, and demos
        4
        • Lecture2.1
          2.1 How to download and complete exercises
        • Lecture2.2
          2.2 Exercises download
        • Lecture2.3
          2.3 Demos download
        • Lecture2.4
          2.4 Slides of the video course
      • 3. VertiPaq storage engine
        15
        • Lecture3.1
          3.1 VertiPaq storage engine
        • Lecture3.2
          3.2 VertiPaq in-memory columnar database
        • Lecture3.3
          3.3 What is VertiPaq?
        • Lecture3.4
          3.4 Run Length Encoding (RLE)
        • Lecture3.5
          3.5 VertiPaq compression
        • Lecture3.6
          3.6 Segmentation
        • Lecture3.7
          3.7 Data memory usage
        • Lecture3.8
          3.8 Materialization in DAX
        • Lecture3.9
          3.9 Storage internals
        • Lecture3.10
          3.10 Relationships
        • Lecture3.11
          3.11 Reduce dictionary size
        • Lecture3.12
          3.12 Hands-on labs
        • Lecture3.13
          3.13 Lab 1 – Exercise 1 – Understanding information about a model
        • Lecture3.14
          3.14 Lab 1 – Exercise 1 – Solution
        • Lecture3.15
          3.15 Discussion
      • 4. Measuring performance
        16
        • Lecture4.1
          4.1 Measuring performance
        • Lecture4.2
          4.2 Tabular query architecture
        • Lecture4.3
          4.3 Two engines
        • Lecture4.4
          4.4 SQL Server Profiler
        • Lecture4.5
          4.5 DAX Studio
        • Lecture4.6
          4.6 Gathering counters
        • Lecture4.7
          4.7 Understanding data caches
        • Lecture4.8
          4.8 xmSQL syntax
        • Lecture4.9
          4.9 Filter
        • Lecture4.10
          4.10 Lab 2 – Exercise 1 – Simple grouping
        • Lecture4.11
          4.11 Lab 2 – Exercise 1 – Solution
        • Lecture4.12
          4.12 Lab 2 – Exercise 2 – Simple filters
        • Lecture4.13
          4.13 Lab 2 – Exercise 2 – Solution
        • Lecture4.14
          4.14 Lab 2 – Exercise 3 – Basic time intelligence
        • Lecture4.15
          4.15 Lab 2 – Exercise 3 – Solution
        • Lecture4.16
          4.16 Discussion
      • 5. Analyzing query plans
        17
        • Lecture5.1
          5.1 Analyzing query plans
        • Lecture5.2
          5.2 SUMMARIZE
        • Lecture5.3
          5.3 ADDCOLUMNS
        • Lecture5.4
          5.4 Multiple measures
        • Lecture5.5
          5.5 Cache
        • Lecture5.6
          5.6 Storage engine features
        • Lecture5.7
          5.7 CallbackDataID
        • Lecture5.8
          5.8 Measuring MDX
        • Lecture5.9
          5.9 Lab 3 – Exercise 1 – High value countries
        • Lecture5.10
          5.10 Lab 3 – Exercise 1 – Solution
        • Lecture5.11
          5.11 Lab 3 – Exercise 2 – Sum of similar measures
        • Lecture5.12
          5.12 Lab 3 – Exercise 2 – Solution
        • Lecture5.13
          5.13 Lab 3 – Exercise 3 – Context transition
        • Lecture5.14
          5.14 Lab 3 – Exercise 3 – Solution
        • Lecture5.15
          5.15 Lab 3 – Exercise 4 – Counting invoices
        • Lecture5.16
          5.16 Lab 3 – Exercise 4 – Solution
        • Lecture5.17
          5.17 Discussion
      • 6. Optimizing large models
        6
        • Lecture6.1
          6.1 Optimizing large models
        • Lecture6.2
          6.2 How many rows do you have?
        • Lecture6.3
          6.3 SUM or SUMX?
        • Lecture6.4
          6.4 Optimizing degenerate dimensions
        • Lecture6.5
          6.5 Dimension bottlenecks
        • Lecture6.6
          6.6 Discussion
      • 7. Measuring performance
        16
        • Lecture7.1
          7.1 Measuring performance
        • Lecture7.2
          7.2 Tabular query architecture
        • Lecture7.3
          7.3 Two engines
        • Lecture7.4
          7.4 SQL Server Profiler
        • Lecture7.5
          7.5 DAX Studio
        • Lecture7.6
          7.6 Gathering counters
        • Lecture7.7
          7.7 Understanding data caches
        • Lecture7.8
          7.8 xmSQL syntax
        • Lecture7.9
          7.9 Filter
        • Lecture7.10
          7.10 Lab 2 – Exercise 1 – Simple grouping
        • Lecture7.11
          7.11 Lab 2 – Exercise 1 – Solution
        • Lecture7.12
          7.12 Lab 2 – Exercise 2 – Simple filters
        • Lecture7.13
          7.13 Lab 2 – Exercise 2 – Solution
        • Lecture7.14
          7.14 Lab 2 – Exercise 3 – Basic time intelligence
        • Lecture7.15
          7.15 Lab 2 – Exercise 3 – Solution
        • Lecture7.16
          7.16 Discussion
      • 8. Analyzing query plans
        17
        • Lecture8.1
          8.1 Analyzing query plans
        • Lecture8.2
          8.2 SUMMARIZE
        • Lecture8.3
          8.3 ADDCOLUMNS
        • Lecture8.4
          8.4 Multiple measures
        • Lecture8.5
          8.5 Cache
        • Lecture8.6
          8.6 Storage engine features
        • Lecture8.7
          8.7 CallbackDataID
        • Lecture8.8
          8.8 Measuring MDX
        • Lecture8.9
          8.9 Lab 3 – Exercise 1 – High value countries
        • Lecture8.10
          8.10 Lab 3 – Exercise 1 – Solution
        • Lecture8.11
          8.11 Lab 3 – Exercise 2 – Sum of similar measures
        • Lecture8.12
          8.12 Lab 3 – Exercise 2 – Solution
        • Lecture8.13
          8.13 Lab 3 – Exercise 3 – Context transition
        • Lecture8.14
          8.14 Lab 3 – Exercise 3 – Solution
        • Lecture8.15
          8.15 Lab 3 – Exercise 4 – Counting invoices
        • Lecture8.16
          8.16 Lab 3 – Exercise 4 – Solution
        • Lecture8.17
          8.17 Discussion
      • 9. Optimizing large models
        6
        • Lecture9.1
          9.1 Optimizing large models
        • Lecture9.2
          9.2 How many rows do you have?
        • Lecture9.3
          9.3 SUM or SUMX?
        • Lecture9.4
          9.4 Optimizing degenerate dimensions
        • Lecture9.5
          9.5 Dimension bottlenecks
        • Lecture9.6
          9.6 Discussion
      • 10. Analyzing query plans'
        17
        • Lecture10.1
          10.1 Analyzing query plans
        • Lecture10.2
          10.2 SUMMARIZE
        • Lecture10.3
          10.3 ADDCOLUMNS
        • Lecture10.4
          10.4 Multiple measures
        • Lecture10.5
          10.5 Cache
        • Lecture10.6
          10.6 Storage engine features
        • Lecture10.7
          10.7 CallbackDataID
        • Lecture10.8
          10.8 Measuring MDX
        • Lecture10.9
          10.9 Lab 3 – Exercise 1 – High value countries
        • Lecture10.10
          10.10 Lab 3 – Exercise 1 – Solution
        • Lecture10.11
          10.11 Lab 3 – Exercise 2 – Sum of similar measures
        • Lecture10.12
          10.12 Lab 3 – Exercise 2 – Solution
        • Lecture10.13
          10.13 Lab 3 – Exercise 3 – Context transition
        • Lecture10.14
          10.14 Lab 3 – Exercise 3 – Solution
        • Lecture10.15
          10.15 Lab 3 – Exercise 4 – Counting invoices
        • Lecture10.16
          10.16 Lab 3 – Exercise 4 – Solution
        • Lecture10.17
          10.17 Discussion
      • 11. Optimizing large models
        6
        • Lecture11.1
          11.1 Optimizing large models
        • Lecture11.2
          11.2 How many rows do you have?
        • Lecture11.3
          11.3 SUM or SUMX?
        • Lecture11.4
          11.4 Optimizing degenerate dimensions
        • Lecture11.5
          11.5 Dimension bottlenecks
        • Lecture11.6
          11.6 Discussion
      • 12. Advanced optimizations
        16
        • Lecture12.1
          12.1 Advanced optimizations
        • Lecture12.2
          12.2 Introduction
        • Lecture12.3
          12.3 Division by zero
        • Lecture12.4
          12.4 Filter materialization
        • Lecture12.5
          12.5 Optimizing IF statements
        • Lecture12.6
          12.6 Column filters vs table filters
        • Lecture12.7
          12.7 Currency conversion
        • Lecture12.8
          12.8 Lab 4 – Exercise 1 – Open orders
        • Lecture12.9
          12.9 Lab 4 – Exercise 1 – Solution
        • Lecture12.10
          12.10 Lab 4 – Exercise 2 – Optimizing if-then-else
        • Lecture12.11
          12.11 Lab 4 – Exercise 2 – Solution
        • Lecture12.12
          12.12 Lab 4 – Exercise 3 – Currency conversion
        • Lecture12.13
          12.13 Lab 4 – Exercise 3 – Solution
        • Lecture12.14
          12.14 Lab 4 – Exercise 4 – New customers
        • Lecture12.15
          12.15 Lab 4 – Exercise 4 – Solution
        • Lecture12.16
          12.16 Discussion
      • 13. Optimization examples
        5
        • Lecture13.1
          13.1 Optimization examples
        • Lecture13.2
          13.2 Introduction
        • Lecture13.3
          13.3 Events in progress
        • Lecture13.4
          13.4 New and returning customers
        • Lecture13.5
          13.5 Discussion
      • 14. Conclusion
        1
        • Lecture14.1
          14.1 Conclusion
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