Business Intelligence with Microsoft Power BI - with Material - Merging Data Having Multiple Criteria

The video tutorial explains how to merge data from two tables with multiple matching columns using Power BI. It covers the process of identifying matching columns, using Power BI's merge queries feature, and selecting the desired output columns. The tutorial highlights the ease of performing these tasks in Power BI compared to Excel, emphasizing the importance of selecting columns in the correct sequence for accurate results.

What is the main challenge when merging data with multiple matching columns in Power BI?

• Columns having different positions

• Inconsistent data formats

• Missing data in columns

• Different data types in columns

Why is it necessary to use both first name and last name columns for merging in the given scenario?

• To simplify the merging process

• To ensure data accuracy

• To increase processing speed

• To reduce data redundancy

What is the desired output after merging the tables in Power BI?

• A summary report of both tables

• A new table with all columns

• The salary column from the master table added to the transactional table

• A table with only unique entries

In Power BI, what is the first step to merge queries with multiple columns?

• Filter the data

• Select the columns to be merged

• Sort the data

• Rename the tables

What is the advantage of using Power Query for merging data compared to Excel?

• It requires fewer steps

• It supports more data formats

• It is faster

• It provides better visualization