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Expert Data Modeling with Power BI, Second Edition

You're reading from   Expert Data Modeling with Power BI, Second Edition Enrich and optimize your data models to get the best out of Power BI for reporting and business needs

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246246
Length 698 pages
Edition 2nd Edition
Languages
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Author (1):
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Soheil Bakhshi Soheil Bakhshi
Author Profile Icon Soheil Bakhshi
Soheil Bakhshi
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Table of Contents (22) Chapters Close

Preface 1. Section I: Data Modeling in Power BI
2. Introduction to Data Modeling in Power BI FREE CHAPTER 3. Data Analysis eXpressions and Data Modeling 4. Section II: Data Preparation in Query Editor
5. Data Preparation in Power Query Editor 6. Getting Data from Various Sources 7. Common Data Preparation Steps 8. Star Schema Preparation in Power Query Editor 9. Data Preparation Common Best Practices 10. Section III: Data Modeling
11. Data Modeling Components 12. Star Schema and Data Modeling Common Best Practices 13. Section IV: Advanced Data Modeling
14. Advanced Data Modeling Techniques 15. Row-Level and Object-Level Security 16. Dealing with More Advanced Data Warehousing Concepts in Power BI 17. Introduction to Dataflows 18. DirectQuery Connections to Power BI Datasets and Analysis Services in Composite Models 19. New Options, Features, and DAX Functions 20. Other Books You May Enjoy
21. Index

Pivoting tables

Working with Pivot tables comes naturally for Power BI developers with an Excel background. The pivot table is a compelling and common functionality across many data analysis tools, including Power Query in Power BI. The pivoting functionality accepts a table, rotates the values of the selected other column as column headers, groups the unique values of all other columns, and calculates the aggregation of values of the selected column by the other columns. In other words, the pivot function aggregates the intersection of the column that represents column headers and all other columns in the table. When we pivot a table in Power Query, we use the following function:

Table.Pivot(table as table, pivotValues as list, attributeColumn as text, valueColumn as text, optional aggregationFunction as nullable function)

In the preceding function:

  • table is the function’s input.
  • pivotValues is a list of values of the column that rotates as column...
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