Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Microsoft Power BI Desktop and SQL Server Analysis Services Tabular models.
DAX 2019 is a collection of functions, operators, and constants that can be used in a formula, or expression, to calculate and return one or more values. Stated more simply, DAX helps you create reports and new information from data already in your model.
Training Duration: 5 Days
- Certificate Of Completion Available
- Group Private Class
- VILT Class Available
- HRDCorp SBL-Khas Claimable
For more details, may check out the entire series and blogs at Honing Your Skills On Microsoft Power Platform
This GRC-102: Conquering DAX 2019 workshop is a complete course about the DAX language. DAX is the native language of Power BI, Power Pivot for Excel, and SSAS Tabular models in Microsoft SQL Server Analysis Services. The training is aimed at users of Microsoft Power BI, Power Pivot for Excel, and at Analysis Services developers that want to learn and master the DAX language. This DAX training course covers the latest version of DAX 2019.
After completing this course, students will be able to:
- Understand all the features of the DAX language
- Write formulas for common and advanced scenarios
Attendees need to have a basic knowledge of the data modeling in Power Pivot for Excel, or Power BI Desktop, or Analysis Services Tabular modeling.
Module 1: Introduction to DAX
- What is DAX?
- DAX data types
- Calculated columns
- Measures
- Aggregation functions
- Counting values
- Conditional functions
- Handling errors
- Using variables
- Mathematical functions
- Relational functions
Module 2: Table Functions
- Introduction to table functions
- Filtering a table
- Ignoring filters
- Mixing filters
- DISTINCT Function
- How many values for a column?
- ALLSELECTED function
- RELATEDTABLE function
- Tables and relationships
- Tables with one row and one column
- Table variables
Module 3: Evaluation Contexts
- Introduction to evaluation contexts
- Filter context
- Row context
- Context errors
- Filtering a table
- Using RELATED in a row context
- Ranking by price
- Evaluation contexts and relationships
- Filters and relationships
Module 4: CALCULATE Function
- Introduction to CALCULATE function
- CALCULATE function examples
- CALCULATE function recap
- What is a filter context?
- KEEPFILTERS function
- CALCULATE operators
- Use one column only in a compact syntax
- Variables and evaluation contexts
Module 5: Advanced Evaluation Contexts
- CALCULATE modifiers
- USERELATIONSHIP function
- CROSSFILTER function
- ALL function
- ALLSELECTED function
- KEEPFILTERS function
- Context transition
- Circular dependency
- CALCULATE execution order
Module 6: Iterators
- Working with iterators
- MINX and MAXX functions
- Useful iterators
- RANKX function
- ISINSCOPE function
Module 7: Building a Date Table
- Introduction to date tables
- Auto Date/Time
- CALENDARAUTO function
- Mark as date table
- Using multiple dates
Module 8: Time Intelligence in DAX
- What is time intelligence?
- Time intelligence functions
- DATEADD function
- DATESINPERIOD function
- Running total
- Mixing time intelligence functions
- Semi-additive measures
- Calculation over weeks
Module 9: Hierarchies in DAX
- What are hierarchies?
- FILTER and CROSSFILTER function
- Percentages over hierarchies
- Parent-child hierarchies
Module 10: Data Lineage and TREATAS
- What is data lineage?
- TREATAS function
Module 11: Expanded Tables
- Filters are tables!
- Difference between base tables and expanded tables
- Filtering a column
Module 12: Arbitrarily Shaped Filters
- What are arbitrarily shaped filters?
- Example of an arbitrarily shaped filter
Module 13: ALLSELECTED and Shadow Filter Contexts
- ALLSELECTED function revisited
- Shadow filter contexts
Module 14: Segmentation
- Static segmentation
- Circular dependency in calculated tables
- Dynamic segmentation
Module 15: Many-to-many Relationships
- How to handle many-to-many relationships
- Bidirectional filtering
- Expanded table filtering
- Comparison of the different techniques
Module 16: Ambiguity and Bidirectional Filters
- Understanding ambiguity
Module 17: Relationships at Different Granularities
- Working at different granularity
- Using TREATAS function
- Calculated tables to slice dimensions
- Leveraging weak relationships
- Scenario recap
- Checking granularity in the report
- Hiding or reallocating
Module 18: Querying with DAX
- Working with tables and queries
- EVALUATE syntax
- CALCULATETABLE function
- SELECTCOLUMNS function
- SUMMARIZE function
- SUMMARIZECOLUMNS function
- CROSSJOIN function
- TOPN and GENERATE functions
- ROW and DATATABLE functions
- Tables and relationships
- UNION, INTERSECT and EXCEPT functions
- GROUPBY functions
- Query measures
Lab Exercises:
- Lab 01
- First steps with DAX
- Average sales per customer
- Average delivery time
- Last update of customer
- Working days
- Discount categories
- Lab 02
- Percentage of sales
- Delivery working days
- Sales of products in the first week
- Customers with children
- Lab 03
- Nested iterators
- Customers in North America (BASIC)
- Create a parameter table
- Lab 04
- Sales of red and blue products
- Understanding CALCULATE
- Sales of blue products
- Customers in North America (ADVANCED)
- Computing percentages
- Lab 05
- Correct sales of grey products
- Best customers
- Customers buying many products
- Large sales
- Percentage of customers
- Counting spikes
- Lab 06
- Ranking customers (static)
- Ranking customers (dynamic)
- Date with the highest sales
- Moving average
- Lab 07
- Running total
- Comparison YOY%
- Sales in the first three months
- Semi-additive calculations
- Lab 08
- Distinct count of countries
- Sales quantity greater than two
- Lab 09
- Static segmentation
- Lab 10
- Many-to-many relationships
- Lab 11
- Sales by year
- Filtering and grouping sales
- Using TOPN and GENERATE
- Sales of top customers
- Sales of top three colors
- Bonus Lab
- Same product sales
- Commentary on report
- New customers
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