Power Pivot - Big Data, Data Modeling, DAX & Dashboards

Power Pivot - Big Data, Data Modeling, DAX & Dashboards

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) Average Daily Reve Example and why DAX is Easier than Standard PivotTable.

5 of 25

5 of 25

) Average Daily Reve Example and why DAX is Easier than Standard PivotTable.

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Classroom Contents

Power Pivot - Big Data, Data Modeling, DAX & Dashboards

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  1. 1 ) Introduction & Over view of entire Big Data & DAX Project.
  2. 2 ) Download Files.
  3. 3 ) What is a Data Model PivotTable and why Power Pivot is called “Power Pivot”
  4. 4 ) Differences Between Standard PivotTable & Data Model PivotTable
  5. 5 ) Average Daily Reve Example and why DAX is Easier than Standard PivotTable.
  6. 6 ) Choice between: Standard PivotTable & Data Model PivotTable
  7. 7 ) What is a SQL Database?
  8. 8 ) Import Big Data from SQL Database using Power Query
  9. 9 ) Load SQL Tables into Columnar Database in Power Pivot’s Data Model
  10. 10 ) How to get into the Data Model. Into to Data Model.
  11. 11 ) Create Relationships in Design View
  12. 12 ) What is a Date Table? Create Date Table.
  13. 13 ) Hide Column From Client Tool
  14. 14 ) Overview of DAX Formulas
  15. 15 ) DAX Calculated Column for Line Revenue
  16. 16 ) Row Context
  17. 17 ) DAX Measure to add Calculated Column using SUM
  18. 18 ) SUMX DAX Measure to calculate Total Revenue without a Calculated Column.
  19. 19 ) Compare and contrast Calculated Column and Measures.
  20. 20 ) Create Data Model PivotTable
  21. 21 ) Filter Context
  22. 22 ) Create More DAX Formulas: Total COGS, Gross Profit and Percent Gross Profit.
  23. 23 ) Create Dashboard for Gross Profit.
  24. 24 ) Create Running Total and Average Daily Revenue DAX Measures and Final Data Model PivotTable.
  25. 25 ) Summary

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