Power Query: How to Use Parameters, Data Sources and New Query in Home Tab a Complete Guide to Data Connectivity and Automation
- Fakhriddinbek
- 3 days ago
- 4 min read
Updated: 2 days ago
Power Query is a powerful data transformation and automation tool built into Microsoft Excel and Power BI. It allows users to connect to various data sources, clean and shape data, and automate workflows—all without writing complex code. The Home tab in Power Query is the central hub for managing queries, connecting to data, and configuring parameters.

Power Query How to Use Parameters, Data Sources and New Query in Home Tab a Complete Guide to Data Connectivity and Automation
In this guide, we’ll explore Power Query How to Use Parameters, Data Sources and New Query in Home Tab a Complete Guide to Data Connectivity and Automation:
New Query – Connecting to and importing data from various sources.
Data Sources – Managing existing connections and credentials.
Manage Parameters – Creating dynamic inputs to make queries flexible and reusable.
Whether you're building dashboards, cleaning datasets, or automating reports, mastering these tools will help you work smarter and more efficiently.
1. New Query: Connecting to Data Sources
The New Query section is where you begin your data journey in Power Query. It allows you to connect to a wide variety of data sources, both local and cloud-based.
Key Data Source Categories
a. From File
Excel Workbook
CSV
XML
JSON
Folder
Use Case: Ideal for importing structured data stored locally or on a network.
b. From Database
SQL Server
Access
Oracle
MySQL
PostgreSQL
Azure SQL Database
Use Case: Connect to enterprise databases for real-time or scheduled data extraction.
c. From Online Services
SharePoint Folder
Microsoft Exchange
Dynamics 365
Salesforce
Azure Blob Storage
Use Case: Useful for cloud-based data integration and business application reporting.
d. From Other Sources
Web
OData Feed
Blank Query
R or Python scripts (Power BI only)
Use Case: Enables advanced data extraction and scripting for custom transformations.
How to Use New Query
Open Power Query Editor via Data > Get Data or Transform Data in Power BI.
Click Home > New Source.
Select your desired data source.
Configure connection settings (e.g., file path, credentials).
Load or transform the data in the editor.
Benefits
Connect to virtually any data source
Centralized data import process
Supports both structured and semi-structured data
2. Data Sources: Managing Connections and Credentials
Once you’ve connected to data, Power Query stores metadata about your sources. The Data Sources section helps you manage these connections securely and efficiently.
a. Data Source Settings
View all connected data sources in your workbook or Power BI file.
Edit credentials, privacy levels, and permissions.
Clear cache or reset connections.
How to Access:
Go to Home > Data Source Settings.
Choose Global or Current Workbook settings.
Edit or delete connections as needed.
b. Privacy Levels
Control how data from different sources is combined.
Options include:
Public
Organizational
Private
Use Case: Prevent sensitive data from being inadvertently exposed during merges or joins.
c. Credential Management
Store login information securely.
Choose authentication methods (e.g., Windows, Basic, OAuth).
Tip: Always review credentials when sharing files to avoid access issues.
Benefits
Centralized control over data access
Enhanced security and compliance
Simplifies troubleshooting and auditing
3. Manage Parameters: Creating Dynamic Inputs
Parameters in Power Query allow you to create dynamic, reusable queries. Instead of hardcoding values like file paths, dates, or filters, you can define parameters and reference them throughout your queries.
a. Creating a Parameter
Go to Home > Manage Parameters > New Parameter.
Define:
Name
Description
Data Type (e.g., Text, Number, Date)
Suggested Values (List, Query, or Any Value)
Default Value
Current Value
Click OK to create the parameter.
b. Using Parameters in Queries
Replace static values with parameter references.
Use parameters in:
File paths
Filter conditions
API URLs
Database queries
Example: Instead of hardcoding a file path, use a parameter called FilePath and reference it in the query source.
c. Parameter Types
Static Parameters: Manually entered values.
Dynamic Parameters: Values pulled from other queries or user input.
d. Benefits of Parameters
Make queries reusable across projects
Simplify maintenance and updates
Enable user-driven filtering and customization
Support advanced automation scenarios
Advanced Tips for Power Query Home Tab
1. Use Parameters for Environment Switching
Create parameters for database environments (e.g., Dev, Test, Prod) and switch connections dynamically.
2. Combine Folder Queries with Parameters
Use a parameter to define the folder path and load all files dynamically using From Folder.
3. Secure Data Access with Credential Management
Regularly audit your Data Source Settings to ensure credentials are up to date and privacy levels are appropriate.
4. Use Blank Queries for Custom M Code
Start with a Blank Query to write custom transformations using Power Query’s M language.
Common Issues and Troubleshooting
Issue: Data Source Not Refreshing
Solution: Check credentials and privacy settings in Data Source Settings. Re-authenticate if needed.
Issue: Parameter Not Updating
Solution: Ensure the parameter is referenced correctly and refresh the query after changing its value.
Issue: Credential Errors When Sharing Files
Solution: Use organizational credentials or prompt users to re-enter credentials upon opening.
Issue: Query Errors After Moving Files
Solution: Replace hardcoded paths with parameters to make file locations dynamic.
Conclusion
The Home tab in Power Query is your command center for building robust, flexible, and secure data workflows. By mastering the New Query, Data Sources, and Manage Parameters sections, you can:
Connect to diverse data sources
Secure and manage credentials
Create dynamic, reusable queries
Automate data preparation tasks
Whether you're working in Excel or Power BI, these tools will help you streamline your data processes and build scalable solutions for reporting, analysis, and decision-making.
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