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Creating Query Parameters and Templates

Lesson 9/44 | Study Time: 20 Min

Creating Query Parameters and Templates in Power BI is an advanced technique that enhances report flexibility, reusability, and user interactivity.

Query parameters act as dynamic placeholders within Power Query, allowing users to input variable values such as file paths, filter criteria, or connection details.

This functionality enables the design of adaptable queries that can change based on user input, simplifying the maintenance of reports and enabling automation.

Templates leverage these parameters by packaging the structure of a Power BI report—including queries, data models, and reports—without embedding the actual data, allowing users to generate customized reports by providing different parameter values during template instantiation.

Creating Query Parameters

In practice, query parameters are created within the Power Query Editor via the "Manage Parameters" dialog. Parameters can be configured with metadata such as name, description, data type (text, number, date/time), and restrictions on acceptable values (static lists or any value).

Once created, parameters behave like any other query and can be referenced within data source connections, applied filters, conditional columns, or calculations.


1. Accessing Parameters: In Power Query Editor, click Home > Manage Parameters > New Parameter.

2. Define Parameter Details:


Name: Unique identifier for the parameter.

Description: Optional explanatory text for user clarity.

Data Type: Specifies acceptable input, including Text, Number, Date/Time, or Any.

Allowed Values: Choose from any value, a static list of values, or a dynamic query-based list.

Default and Current Values: Set default to guide users, and current to represent active value.


3. Using Parameters in Queries:


Replace static values like file paths or filter values with parameter references.

Use parameters inside filter rows, replace values, or conditional columns.

Reference parameters in custom M expressions for more advanced query logic.


4. Loading Parameters: By default, parameters are not loaded into the data model but can be enabled if needed.

Creating and Using Power BI Templates

Templates save report definitions without data, allowing users to create new reports by supplying parameter values.


1. Exporting Templates: Select File > Export > Power BI Template (.pbit) in Power BI Desktop.

2. Using Templates: Opening a template file prompts users to enter or select parameter values, creating a new PBIX file populated with data according to those parameters.


Benefits: Facilitates report reuse, standardization, and deployment across environments or user groups without duplicating work.


For example, a user can create a parameter to hold a database server name or a country filter and reference it in queries, making it easy to switch data sources or focus on different data slices without modifying query code.

Templates (.pbit files) can be exported from Power BI Desktop to include these parameters, prompting users for input values on opening, dynamically generating tailored reports without duplicating effort.

Use Cases and Benefits


Ryan Cole

Ryan Cole

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Class Sessions

1- Overview of Business Intelligence Concepts 2- Power BI Ecosystem and Components 3- Understanding Power BI Desktop, Service, and Mobile App 4- Data-Driven Decision Making Fundamentals 5- Connecting to Data Sources (SQL, Excel, Cloud, APIs) 6- Data Import vs Direct Query 7- Power Query Editor Basics and Advanced Transformations 8- Data Cleaning, Shaping, and Formatting 9- Creating Query Parameters and Templates 10- Principles of Data Modeling in Power BI 11- Star Schema and Snowflake Schema Concepts 12- Creating and Managing Relationships Between Tables 13- Calculated Columns vs Measures 14- Role of Lookup and Fact Tables in BI 15- DAX Fundamentals and Syntax 16- Calculated Columns and Measures in Depth 17- Aggregation and Filter Functions 18- Time Intelligence Calculations (YTD, MTD, QTD, etc.) 19- Context in DAX: Row Context and Filter Context 20- Using Variables and Advanced Calculation Techniques 21- Dynamic Calculations and What-If Analysis 22- Hierarchies and Drill-Down Techniques 23- Working with Parent-Child and Many-to-Many Relationships 24- Optimizing DAX for Performance 25- Principles of Effective Data Visualization 26- Creating Interactive Reports and Dashboards 27- Choosing the Right Visuals (Charts, KPIs, Maps, Tables) 28- Using Bookmarks, Tooltips, and Drillthroughs 29- Applying Conditional Formatting and Visual Level Filters 30- Publishing Reports to Power BI Service 31- Workspaces and Apps in Power BI 32- Sharing and Collaborating Securely with Row-Level Security (RLS) 33- Scheduled Refresh and Data Gateway Configuration 34- Usage Metrics and Report Usage Monitoring 35- Real-Time Data Streaming and Dashboards 36- Integration with Azure Synapse and Cognitive Services 37- AI Features in Power BI: Insights, Q&A, and Anomaly Detection 38- Using Power Automate with Power BI for Workflow Automation 39- Implementing Predictive Analytics and Forecasting 40- Best Practices for Data Model Optimization 41- Query Reduction and Load Optimization Techniques 42- Troubleshooting Common Power BI Issues 43- Monitoring Performance with Performance Analyzer 44- Governance and Compliance Considerations in Power BI