Skip Navigation Links.
🏠Home
Collapse 💻Apps💻Apps
Collapse 📂Topics📂Topics
Collapse 📹Video Tutorials📹Video Tutorials
🎬Power BI: Creating Busines...
🎬Analysing Data in SQL Serv...
🎬Time Intelligence in Power...
🎬SQL Magic: Auto-Generating...
🎬Using Gemini for SQL Data ...
🎬Using Dropdown Lists Effec...
🎬Build a Stunning Animated ...
🎬Power BI: Creating and Int...
🎬Advanced Power BI Realtime...
🎬Real time Monitoring with ...
🎬Creating and Using Flow Ma...
🎬How to create terrain, add...
🎬Game Design Tutorial for B...
🎬Dashboard with Relational ...
🎬Power Pivot and Data Model...
🎬Selecting Project using Pr...
🎬Two Ways to Use Custom SQL...
🎬Diversity, Equity, and Inc...
🎬Complete Guide to Using Dr...
🎬Gantt Chart in Power BI: C...
🎬Monitoring Progress Using ...
🎬Creating a Dashboard of Sa...
🎬Indigeno Technologies - Pa...
🎬Creating and Publishing We...
🎬Make Your Data Grow: Tree ...
🎬Power BI: Adding Historica...
🎬We asked an AI to create a...
🎬Power BI: Staff Engagement...
🎬Using Unicode Symbols in E...
🎬Power BI: Timesheet Analys...
🎬Time Machine for Your Data...
🎬Azure Data Studio - Comple...
🎬Power BI: Creating a Stunn...
🎬Power BI: Project Payback,...
🎬Power BI: Complete Realtim...
🎬Power BI: DAX Query View f...
🎬Build Your Own Excel Toolb...
🎬Data Science Programming: ...
🎬Power BI: Manage and Track...
🎬MS Excel: Using Images in ...
🎬MS Excel: Complete Guide t...
🎬Power BI: Creating Dashboa...
🎬Power BI: Using Latest Pre...
🎬Power BI: Performing Compa...
🎬Power BI: Creating Dashboa...
🎬Python: Forecasting with S...
🎬Power BI: Creating a Dice ...
🎬MS Excel: Creating a Dynam...
🎬Power BI: Create stunningl...
🎬MS Excel: Data Visualizati...
🎬Power BI: Assets Managemen...
🎬Power BI: Using Copilot in...
🎬Power BI: How to Create a ...
🎬MS Excel: Complete Guide t...
🎬Power BI: Easily Pivoting ...
🎬Power BI: How to Create a ...
🎬MS Excel: Using Python Rea...
🎬MS Excel: Realtime/Live Da...
🎬Power BI: Creating Paginat...
🎬Power BI: Exploring PBI On...
🎬MS Excel: Mastering MS Exc...
🎬MS Excel: Performing Non-L...
🎬MS Excel: How to add lates...
🎬Power BI: Performing PESTL...
🎬Power BI: Creating an Exot...
🎬Python: Resizing and Conve...
🎬Power BI:The Clock - Episo...
🎬MS Power Point: The Clock ...
🎬Looker Studio: Setting up ...
🎬HTML: Complete Course for ...
🎬Power BI: Creating a Power...
🎬MS Excel: Best Way to Crea...
🎬Power BI: Setting up Repor...
🎬Power BI: Real-time Data R...
🎬MS Excel: Mastering Excel ...
🎬SQL: Creating Realtime Liv...
🎬SQL: SQL Server Reporting ...
🎬Power BI: Data Modeling an...
🎬MS Excel: Data Modeling an...
🎬Python: Mastering NumPy Li...
🎬Power BI: Automating Data ...
🎬Power BI: How to Build a P...
🎬Power BI: Displaying Realt...
🎬Power BI: Unlocking Insigh...
🎬Power BI: How to Create a ...
🎬Power BI: Comparing Variou...
🎬Power BI: Animate Your Vis...
🎬MS Excel: Using Formulas l...
🎬Power BI: Using Folders as...
🎬Power BI: Using Folders as...
🎬Python: Uploading Files Di...
🎬Power BI: Creating Stunnin...
🎬Power BI: Integrating Pict...
🎬Power BI: Crafting Dynamic...
🎬Power BI: Dealing with Err...
🎬Power BI: Creating Dynamic...
🎬MS Excel: Calculating, Com...
🎬Power BI: Exploratory Data...
🎬Power BI: Create an Intera...
🎬Python: Creating Polynomia...
🎬Looker Studio: Creating Dy...
🎬Google Charts: Using Googl...
🎬Looker Studio: Understandi...
🎬Python: Mastering Data Vis...
🎬Power BI: Realtime Simulat...
🎬Power BI: Connecting to an...
🎬Python: Performing basic S...
🎬MS Excel: Simplifying Comp...
🎬Power BI: How to Create Hi...
🎬MS Excel: How to Use Calcu...
🎬Power BI: Using Small Mult...
🎬Power BI: Performing Finan...
🎬Power BI: Displaying SQL D...
🎬Power BI: Displaying Audit...
🎬Power BI: Loading Data int...
🎬Power BI: Using SQL Query ...
🎬Power BI: Visualizing Basi...
🎬MS Excel: Create a Smart, ...
🎬Power BI: Realtime Plant S...
🎬Power BI: Analyzing Season...
🎬Power BI: Creating your fi...
🎬Power BI: Creating Paginat...
🎬Power BI: Creating a Key P...
🎬Power BI: Creating Data So...
🎬Power BI: Setting up Power...
🎬Creating and Setting up a ...
🎬Power BI: Creating Pareto ...
🎬Power BI: Realtime Call Ce...
🎬Power BI: Creating a Proje...
🎬Power BI: Displaying Live ...
🎬Power BI: Using Conditiona...
🎬MS Excel: How to Create Re...
🎬Power BI: Realtime Sales S...
🎬Power BI: Displaying Realt...
🎬MS Excel: Using Excel Slic...
🎬Tableau: Tutorial for Begi...
🎬Power BI: How to Use Bookm...
🎬MS Access: How to Create R...
🎬MS Excel: Using What If An...
🎬Power BI: Create a YouTube...
🎬Power BI: Correlation Anal...
🎬Power BI: Analyzing Murder...
🎬Power BI: Manage and Monit...
🎬MS Excel: Creating an Anim...
🎬MS Excel: Creating 3D Maps...
🎬Power BI: Analyzing Wareho...
🎬MS Excel: How to add seria...
🎬Power BI: Mastering Market...
🎬MS Excel: What lies beneat...
🎬MS Excel/Power BI: Unpivot...
🎬Power BI: Exploring Defaul...
🎬MS Excel: Using the Break-...
🎬MS Excel: Predicting Sales...
🎬Power BI: Market Basket An...
🎬MS Excel: Creating a Bell ...
🎬Power BI: Creating a Dimen...
🎬Looker Studio: Creating a ...
🎬R: Creating Your First Pie...
🎬MS Excel: Conditional Form...
🎬Power BI: Analyzing human ...
🎬Python: Unleashing the Pow...
🎬Excel: Mapping, Grouping a...
🎬Power BI: Forecasting Data...
🎬Power BI: Grouping Data in...
🎬JavaScript: Using the if-e...
🎬Power BI: Connecting to th...
🎬JavaScript: Performing Mat...
🎬Power BI: Analyzing Bank L...
🎬MS Excel: Pivot... Pivot.....
🎬JavaScript: How to use onC...
🎬Power BI: Using Sankey Dia...
🎬Power BI: Multi Page Power...
🎬JavaScript: How to use onL...
🎬JavaScript: How to get the...
🎬Power BI: Crimes in Los An...
🎬Power BI: Crimes in Los An...
🎬Excel: Using the Fill Feat...
🎬Power BI: Drill-through Re...
🎬Power BI: Using DAX (Data ...
🎬Power BI: Using Smart Narr...
🎬Power BI: Bank Failure in ...
🎬Python: Predicting absente...
🎬Power BI: Dashboards with ...
🎬Power BI: Team and Product...
🎬Excel: Lookup Functions, V...
🎬Power BI: Artificial Intel...
🎬Power BI: Drill Down Repor...
🎬Python: Creating a GUI bas...
🎬Power BI: Visualizing Stoc...
🎬Python: Expected Returns (...
🎬Power BI: Decomposition Tr...
🎬Power BI: Sales and Profit...
🎬Python: Why you should not...
🎬Python: How to save, reloa...
🎬Power BI: Dimensional Mode...
🎬Python: How to classify da...
🎬Python: Machine Learning, ...
🎬Python: Web Scraping using...
🎬Animate: Classic Tween in ...
🎬Python: Support Vector Mac...
🎬Python: How to perform loo...
🎬Unity3d: How to create ter...
🎬Python: How to create and ...
🎬Python: How to work with a...
🎬Python: How to work with p...
🎬Python: How to work with S...
🎬SQL: How to create databas...
🎬Python: Data Scraping from...
🎬MS Excel: Pivot Tables, Pi...
🎬Python: How to use World B...
🎬MS Excel: How to use COUPD...
🎬Power BI: How to install P...
🎬Python: Easiest way to dow...
🎬MS Excel: How to use AMORD...
🎬MS Excel: How to use ACCRI...
🎬Python: Calculating varian...
🎬MS Excel: How to calculate...
🎬Python: How to calculate a...
🎬MS Excel: How to calculate...
🎬Python: How to calculate a...
🎬MS Excel: How to calculate...
🎬Python: How to calculate a...
🎬MS Excel: How to calculate...

📄Data Source Settings

A data source in Power Query is a location where data is stored. Power Query can connect to a wide variety of data sources. Once you have connected to a data source, Power Query can import the data into a table or range in Excel, or into a Power BI dataset. You can then use Power Query to transform the data, such as by cleaning it, merging it, or filtering it. Power Query makes it easy to connect to a wide variety of data sources and to transform the data into a format that you can use. This makes it a powerful tool for data analysis and visualization. Some data sources are saved within the system and can be used in future as well. For example once you connect to an SQL server, the server name, database name, credentials and permissions will be saved. Next time when you connect to the same database, you are not asked for credentials. You can access stored data source settings through Power Query. There is a button named “Data Source Settings” on the home tab to access these settings.

Image

Data Source Settings Window:

When you click on your data source settings button, following window will open up. This is where you can change data source settings. You can change the data source, export the data source as a file, edit the permissions, and clear the permissions.

Image

Change Source:

In the data source settings window, you can change the data source, by clicking on the change data source button. Then you can change the name of the server, and the database, along with other options.

Image

Export Power BI Data Source:

Export PBIDS is a feature in Power BI that allows you to export the connection settings for a data source to a file with the .pbids extension. This file can then be used to connect to the data source in Power BI Desktop or Power BI Service. The PBIDS file will be created and saved to the location you specified. It will contain the data source type, connection string, authentication method, security credentials, the mode of connection (DirectQuery or Import) etc.

You can open the PBIDS file in a text editor to view the contents. A PBIDS file can be used to share data source connection settings with other users, to create a backup of your data source connection settings, or to automate the connection to a data source.

Image

Edit Permissions:

The Edit Permissions dialog box in Power Query allows you to control who has access to a data source and what they can do with it. You can set permissions for individual users or groups of users. You can only set permissions for data sources that are stored in your local machine or in a shared location. You cannot set permissions for data sources that are stored in the cloud.
If you change the permissions for a data source, any users who already have access to the data source will not be affected.

Permissions include:
Full Control: This permission allows the user to do anything with the data source, including reading, writing, and deleting data.
Read Only: This permission allows the user to read data from the data source, but they cannot write or delete data.
No Access: This permission prevents the user from accessing the data source at all.

Image

Global Permissions:

Global permissions in Power Query data source settings refer to the permissions that are applied to all data sources in a Power BI Desktop file. These permissions can be set by the file owner or by a user with administrative privileges. You can only set global permissions for data sources that are stored in your local machine or in a shared location. You cannot set global permissions for data sources that are stored in the cloud. If you change the global permissions, any users who already have access to the data sources in the file will not be affected.

Image