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1. Presentation of Optimizing DAX
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1.1 Presentation of Optimizing DAXLecture1.1
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2. Exercises, slides, and demos
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2.1 How to download and complete exercisesLecture2.1
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2.2 Exercises downloadLecture2.2
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2.3 Demos downloadLecture2.3
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2.4 Slides of the video courseLecture2.4
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3. VertiPaq storage engine
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3.1 VertiPaq storage engineLecture3.1
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3.2 VertiPaq in-memory columnar databaseLecture3.2
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3.3 What is VertiPaq?Lecture3.3
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3.4 Run Length Encoding (RLE)Lecture3.4
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3.5 VertiPaq compressionLecture3.5
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3.6 SegmentationLecture3.6
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3.7 Data memory usageLecture3.7
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3.8 Materialization in DAXLecture3.8
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3.9 Storage internalsLecture3.9
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3.10 RelationshipsLecture3.10
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3.11 Reduce dictionary sizeLecture3.11
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3.12 Hands-on labsLecture3.12
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3.13 Lab 1 – Exercise 1 – Understanding information about a modelLecture3.13
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3.14 Lab 1 – Exercise 1 – SolutionLecture3.14
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3.15 DiscussionLecture3.15
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4. Measuring performance
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4.1 Measuring performanceLecture4.1
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4.2 Tabular query architectureLecture4.2
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4.3 Two enginesLecture4.3
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4.4 SQL Server ProfilerLecture4.4
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4.5 DAX StudioLecture4.5
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4.6 Gathering countersLecture4.6
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4.7 Understanding data cachesLecture4.7
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4.8 xmSQL syntaxLecture4.8
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4.9 FilterLecture4.9
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4.10 Lab 2 – Exercise 1 – Simple groupingLecture4.10
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4.11 Lab 2 – Exercise 1 – SolutionLecture4.11
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4.12 Lab 2 – Exercise 2 – Simple filtersLecture4.12
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4.13 Lab 2 – Exercise 2 – SolutionLecture4.13
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4.14 Lab 2 – Exercise 3 – Basic time intelligenceLecture4.14
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4.15 Lab 2 – Exercise 3 – SolutionLecture4.15
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4.16 DiscussionLecture4.16
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5. Analyzing query plans
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5.1 Analyzing query plansLecture5.1
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5.2 SUMMARIZELecture5.2
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5.3 ADDCOLUMNSLecture5.3
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5.4 Multiple measuresLecture5.4
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5.5 CacheLecture5.5
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5.6 Storage engine featuresLecture5.6
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5.7 CallbackDataIDLecture5.7
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5.8 Measuring MDXLecture5.8
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5.9 Lab 3 – Exercise 1 – High value countriesLecture5.9
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5.10 Lab 3 – Exercise 1 – SolutionLecture5.10
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5.11 Lab 3 – Exercise 2 – Sum of similar measuresLecture5.11
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5.12 Lab 3 – Exercise 2 – SolutionLecture5.12
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5.13 Lab 3 – Exercise 3 – Context transitionLecture5.13
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5.14 Lab 3 – Exercise 3 – SolutionLecture5.14
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5.15 Lab 3 – Exercise 4 – Counting invoicesLecture5.15
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5.16 Lab 3 – Exercise 4 – SolutionLecture5.16
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5.17 DiscussionLecture5.17
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6. Optimizing large models
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6.1 Optimizing large modelsLecture6.1
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6.2 How many rows do you have?Lecture6.2
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6.3 SUM or SUMX?Lecture6.3
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6.4 Optimizing degenerate dimensionsLecture6.4
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6.5 Dimension bottlenecksLecture6.5
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6.6 DiscussionLecture6.6
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7. Measuring performance
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7.1 Measuring performanceLecture7.1
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7.2 Tabular query architectureLecture7.2
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7.3 Two enginesLecture7.3
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7.4 SQL Server ProfilerLecture7.4
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7.5 DAX StudioLecture7.5
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7.6 Gathering countersLecture7.6
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7.7 Understanding data cachesLecture7.7
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7.8 xmSQL syntaxLecture7.8
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7.9 FilterLecture7.9
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7.10 Lab 2 – Exercise 1 – Simple groupingLecture7.10
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7.11 Lab 2 – Exercise 1 – SolutionLecture7.11
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7.12 Lab 2 – Exercise 2 – Simple filtersLecture7.12
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7.13 Lab 2 – Exercise 2 – SolutionLecture7.13
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7.14 Lab 2 – Exercise 3 – Basic time intelligenceLecture7.14
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7.15 Lab 2 – Exercise 3 – SolutionLecture7.15
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7.16 DiscussionLecture7.16
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8. Analyzing query plans
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8.1 Analyzing query plansLecture8.1
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8.2 SUMMARIZELecture8.2
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8.3 ADDCOLUMNSLecture8.3
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8.4 Multiple measuresLecture8.4
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8.5 CacheLecture8.5
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8.6 Storage engine featuresLecture8.6
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8.7 CallbackDataIDLecture8.7
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8.8 Measuring MDXLecture8.8
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8.9 Lab 3 – Exercise 1 – High value countriesLecture8.9
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8.10 Lab 3 – Exercise 1 – SolutionLecture8.10
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8.11 Lab 3 – Exercise 2 – Sum of similar measuresLecture8.11
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8.12 Lab 3 – Exercise 2 – SolutionLecture8.12
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8.13 Lab 3 – Exercise 3 – Context transitionLecture8.13
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8.14 Lab 3 – Exercise 3 – SolutionLecture8.14
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8.15 Lab 3 – Exercise 4 – Counting invoicesLecture8.15
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8.16 Lab 3 – Exercise 4 – SolutionLecture8.16
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8.17 DiscussionLecture8.17
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9. Optimizing large models
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9.1 Optimizing large modelsLecture9.1
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9.2 How many rows do you have?Lecture9.2
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9.3 SUM or SUMX?Lecture9.3
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9.4 Optimizing degenerate dimensionsLecture9.4
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9.5 Dimension bottlenecksLecture9.5
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9.6 DiscussionLecture9.6
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10. Analyzing query plans'
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10.1 Analyzing query plansLecture10.1
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10.2 SUMMARIZELecture10.2
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10.3 ADDCOLUMNSLecture10.3
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10.4 Multiple measuresLecture10.4
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10.5 CacheLecture10.5
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10.6 Storage engine featuresLecture10.6
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10.7 CallbackDataIDLecture10.7
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10.8 Measuring MDXLecture10.8
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10.9 Lab 3 – Exercise 1 – High value countriesLecture10.9
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10.10 Lab 3 – Exercise 1 – SolutionLecture10.10
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10.11 Lab 3 – Exercise 2 – Sum of similar measuresLecture10.11
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10.12 Lab 3 – Exercise 2 – SolutionLecture10.12
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10.13 Lab 3 – Exercise 3 – Context transitionLecture10.13
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10.14 Lab 3 – Exercise 3 – SolutionLecture10.14
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10.15 Lab 3 – Exercise 4 – Counting invoicesLecture10.15
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10.16 Lab 3 – Exercise 4 – SolutionLecture10.16
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10.17 DiscussionLecture10.17
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11. Optimizing large models
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11.1 Optimizing large modelsLecture11.1
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11.2 How many rows do you have?Lecture11.2
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11.3 SUM or SUMX?Lecture11.3
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11.4 Optimizing degenerate dimensionsLecture11.4
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11.5 Dimension bottlenecksLecture11.5
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11.6 DiscussionLecture11.6
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12. Advanced optimizations
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12.1 Advanced optimizationsLecture12.1
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12.2 IntroductionLecture12.2
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12.3 Division by zeroLecture12.3
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12.4 Filter materializationLecture12.4
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12.5 Optimizing IF statementsLecture12.5
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12.6 Column filters vs table filtersLecture12.6
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12.7 Currency conversionLecture12.7
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12.8 Lab 4 – Exercise 1 – Open ordersLecture12.8
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12.9 Lab 4 – Exercise 1 – SolutionLecture12.9
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12.10 Lab 4 – Exercise 2 – Optimizing if-then-elseLecture12.10
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12.11 Lab 4 – Exercise 2 – SolutionLecture12.11
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12.12 Lab 4 – Exercise 3 – Currency conversionLecture12.12
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12.13 Lab 4 – Exercise 3 – SolutionLecture12.13
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12.14 Lab 4 – Exercise 4 – New customersLecture12.14
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12.15 Lab 4 – Exercise 4 – SolutionLecture12.15
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12.16 DiscussionLecture12.16
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13. Optimization examples
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13.1 Optimization examplesLecture13.1
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13.2 IntroductionLecture13.2
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13.3 Events in progressLecture13.3
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13.4 New and returning customersLecture13.4
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13.5 DiscussionLecture13.5
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14. Conclusion
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14.1 ConclusionLecture14.1
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