Podcast
Questions and Answers
What is the primary purpose of connecting to a data source in Power BI Desktop?
What is the primary purpose of connecting to a data source in Power BI Desktop?
- To establish a connection for data import (correct)
- To perform data analysis without loading data
- To visualize the data directly in the report
- To create a data model from unstructured data
Which feature allows developers to manage data from multiple sources in Power BI Desktop?
Which feature allows developers to manage data from multiple sources in Power BI Desktop?
- Power Query Editor (correct)
- Report Builder
- Visual Studio Integration
- Data Management Studio
During the data connection process, what occurs after selecting a data source on the Get Data screen?
During the data connection process, what occurs after selecting a data source on the Get Data screen?
- Application settings are reconfigured
- The Navigator screen shows the available tables (correct)
- The data is automatically visualized
- The metadata of the data source is displayed
What can a developer do after combining queries from multiple data sources in Power BI Desktop?
What can a developer do after combining queries from multiple data sources in Power BI Desktop?
What is the first step a developer should take when starting a new file in Power BI Desktop?
What is the first step a developer should take when starting a new file in Power BI Desktop?
What must be done before using data from different sources to create visualizations in Power BI?
What must be done before using data from different sources to create visualizations in Power BI?
Which of the following is NOT a feature of Power BI when connecting to data sources?
Which of the following is NOT a feature of Power BI when connecting to data sources?
What option is available to developers in Power BI Desktop after the initial connection to a data source?
What option is available to developers in Power BI Desktop after the initial connection to a data source?
What is the main purpose of data modeling in Power BI?
What is the main purpose of data modeling in Power BI?
Which action is NOT considered a part of data transformation in Power Query?
Which action is NOT considered a part of data transformation in Power Query?
When a developer changes the data type of a column in Power Query, what happens to the original data in its source?
When a developer changes the data type of a column in Power Query, what happens to the original data in its source?
How can a developer undo a previously applied data transformation in Power Query?
How can a developer undo a previously applied data transformation in Power Query?
What is the distinction between merging and appending queries in Power BI?
What is the distinction between merging and appending queries in Power BI?
Which of the following tasks can be performed to modify data types in Power Query?
Which of the following tasks can be performed to modify data types in Power Query?
What visual indicator shows that a column's data type has been changed to number in Power Query?
What visual indicator shows that a column's data type has been changed to number in Power Query?
If a developer needs to use state abbreviations instead of full state names, what action might they take during data transformation?
If a developer needs to use state abbreviations instead of full state names, what action might they take during data transformation?
In Power Query, which action would a developer take to remove columns that are no longer needed?
In Power Query, which action would a developer take to remove columns that are no longer needed?
What is indicated by the 'table' label in the merged query column after performing a merge?
What is indicated by the 'table' label in the merged query column after performing a merge?
After completing data modeling, how does a developer incorporate the modeled data into a report in Power BI?
After completing data modeling, how does a developer incorporate the modeled data into a report in Power BI?
What must a developer do to ensure columns are named correctly after importing data?
What must a developer do to ensure columns are named correctly after importing data?
Which function is primarily used in Power Query to combine data from different sources?
Which function is primarily used in Power Query to combine data from different sources?
Flashcards
Connecting to a data source
Connecting to a data source
The first step in creating a Power BI report, where you connect to a data source and retrieve the data.
Get Data screen
Get Data screen
The screen in Power BI Desktop where you can choose from hundreds of data sources to connect to.
From Web dialog box
From Web dialog box
The screen in Power BI Desktop where you can enter website addresses to access data from webpages.
Navigator screen
Navigator screen
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Combining data sources
Combining data sources
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Power Query Editor tool
Power Query Editor tool
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Report view
Report view
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Fields pane
Fields pane
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Data Modeling
Data Modeling
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Modifying Data Types
Modifying Data Types
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Removing Rows and Columns
Removing Rows and Columns
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Renaming Elements
Renaming Elements
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Splitting Columns
Splitting Columns
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Merging Queries
Merging Queries
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Appending Queries
Appending Queries
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Power Query Editor
Power Query Editor
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Applied Steps
Applied Steps
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Merged Query
Merged Query
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Expand Dialog Box
Expand Dialog Box
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Data Modeling in Power BI
Data Modeling in Power BI
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Study Notes
Connecting to and Consuming Data in Power BI
- Power BI allows connecting to various data sources
- Power BI Desktop allows combining data from multiple sources
- To start, click "Get Data" to access the "Get Data" screen
- Select data sources (e.g., web pages), and provide necessary credentials
- Power BI evaluates the data sources and displays available tables (Navigator screen)
- Load tables into the Fields pane (Report view)
- Repeat for additional sources
Transforming Data with Power Query
- Data modeling/shaping/transforming prepares data for visualizations
- Data modifications do not affect original data
- Modifying Data Types:
- Change column types (e.g., text to whole number) in the Power Query Editor
- Right-click or use the drop-down menu
- Modifications are recorded (Applied Steps) for potential reversal
- Removing Rows/Columns:
- Remove unneeded columns/rows using "Manage Columns > Remove Columns"
- Renaming Elements:
- Use first row as headers or manually rename to match other data sources
- Combining Queries:
- Merge: Adds columns from one source to another.
- Append: Adds rows from one source to another.
Merging Queries
- Use "Combine > Merge Queries" to merge queries
- Specify columns to match during merging (e.g., "State" and "State Name" columns)
- The merged data appears as a single column with the merged data contained
- Use the "Expand" button to show expanded columns
- Select specific columns needed for the merged query—deselecting unneeded columns.
- Clicking "Close & Apply" adds the model to Power BI Desktop and prepares the visualization.
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