Power Pivot - Big Data Analysis Made Easy




Power Pivot - Big Data Analysis Made Easy

The course is presented in four parts.


First, brief introduction to Power Pivot and discuss reasons it has become more versatile than the conventional pivot table:

o Excel spreadsheet has limit of 1 million rows, while Power Pivot can connect to over 1 million rows of data. So no limit on the data sources

o Power Pivot can combine all data sources into one pivot table. So no more VLOOKUP()

o A plethora of DAX formulas in Power Pivot. Plus the formulas can be re-used!


Second part is to demonstrate basic maneuvers on how to:

o map all dimension tables and fact tables together, and

o incorporate data from ALL sources into 1 pivot table, and


Third, we demonstrate 6 fundamental DAX formulas in Power Pivot to get you started in building advanced models for effective analytics, including:

o CALCULATE

o SUMX

o RELATED

o SAMEPERIODLASTYEAR


Last, we culminate the webinar with the best practices in Power Pivot modeling, including:

o Use Measures (or Calculated Fields) over Calculated Column in order to

o Table naming conventions, and

o DAX format


Course Search Keywords

- Power Pivot

- Calculated Column

- Calculated Field

- Measures

- DAX formulas

- Data Analysis Expressions

- Dimension table

- Fact table


Prerequisites and Advanced Preparation


● Basic Excel knowledge

● Example: be able to open one Excel file and add a new sheet, etc.



Learning Objectives

● Discover Power Pivot as the big data analysis tool

● Identify the best practices in Power Pivot modeling

● Recognize Power Pivot’s essential steps in relationship and integration

● Discover 6 essential DAX formulas to get you started in Power Pivot formula writing

● Explore differences between a calculated column and a calculate field

Providing insights using DAX formulas!

Url: View Details

What you will learn
  • This course will help you
  • - to learn about using DAX formulas, also known as Data Analysis Expressions,
  • - to learn how to connect data from different sources before feeding them into 1 single pivot table

Rating: 4.35714

Level: Intermediate Level

Duration: 1 hour

Instructor: Lenny Wu, MBA, CPA, CGA


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