Skip to main content

Authentication and authorization for embedded analytics

Authentication and authorization for embedded analytics in Power BI are crucial for ensuring that only authorized users can access embedded reports and dashboards. Here's how authentication and authorization work for embedded analytics in Power BI:


Authentication:

  1. User-Based Authentication:

    • Users authenticate with Power BI using their credentials (e.g., Microsoft account or organizational account).
    • When embedding reports or dashboards, users need to sign in to view embedded content.
    • Power BI supports various authentication methods, including Azure Active Directory (AAD) authentication, OAuth 2.0, and anonymous access.

  2. Service Principal Authentication:

    • For service-to-service communication or non-interactive scenarios, applications authenticate with Power BI using service principal credentials.
    • Service principals are registered in Azure Active Directory and have their own client ID and client secret.

Authorization:

  1. Role-Based Access Control (RBAC):

    • Power BI uses RBAC to manage access to reports, dashboards, datasets, and workspaces.
    • Users or applications must have appropriate roles assigned to access embedded content.
    • Roles include Viewer, Contributor, and Admin, with varying levels of access and permissions.

  2. Embed Token Authorization:

    • When embedding reports or dashboards, applications generate embed tokens for users to access embedded content.
    • Embed tokens include authorization information, such as the user's identity and permissions.
    • Embed tokens are generated based on the user's access rights and are validated by the Power BI service when accessing embedded content.

Steps for Authentication and Authorization:

  1. Register Application:

    • Register your application in the Azure portal and obtain client credentials (client ID and client secret) or configure user authentication settings.

  2. Authenticate User or Application:

    • Authenticate users with their Power BI credentials using OAuth 2.0 authentication flows.
    • Authenticate applications using service principal credentials or application permissions.

  3. Authorize Access:

    • Assign appropriate roles and permissions to users or applications in the Power BI service.
    • Configure workspace-level or report-level access control settings to restrict access to embedded content.

  4. Generate Embed Tokens:

    • When embedding reports or dashboards, generate embed tokens for authenticated users.
    • Embed tokens include authorization information and are used to access embedded content securely.

  5. Embed Content:

    • Use the Power BI JavaScript API or client libraries to embed reports or dashboards into your web application.
    • Use the embed token to authenticate and authorize access to embedded content.

By following these steps, you can implement secure authentication and authorization for embedded analytics in Power BI, ensuring that only authorized users can access and interact with embedded reports and dashboards. 

Comments

Post a Comment

Popular posts from this blog

Performance Optimization

Performance optimization in SQL is crucial for ensuring that your database queries run efficiently, especially as the size and complexity of your data grow. Here are several strategies and techniques to optimize SQL performance: Indexing Create Indexes : Primary Key and Unique Indexes : These are automatically indexed. Ensure that your tables have primary keys and unique constraints where applicable. Foreign Keys : Index foreign key columns to speed up join operations. Composite Indexes : Use these when queries filter on multiple columns. The order of columns in the index should match the order in the query conditions. Avoid Over-Indexing:  Too many indexes can slow down write operations (INSERT, UPDATE, DELETE). Only index columns that are frequently used in WHERE clauses, JOIN conditions, and as sorting keys. Query Optimization Use SELECT Statements Efficiently : SELECT Only Necessary Columns : Avoid using SELECT * ; specify only ...
Post a Comment
Read more

DAX UPPER Function

The DAX UPPER function in Power BI is used to convert all characters in a text string to uppercase. This function is useful for standardizing text data, ensuring consistency in text values, and performing case-insensitive comparisons. Syntax: UPPER(<text>) <text>: The text string that you want to convert to uppercase. Purpose: The UPPER function helps ensure that text data is consistently formatted in uppercase. This can be essential for tasks like data cleaning, preparing text for comparisons, and ensuring uniformity in text-based fields. E xample: Suppose you have a table named "Customers" with a column "Name" that contains names in mixed case. You want to create a new column that shows all names in uppercase. UppercaseName = UPPER(Customers[Name]) Example Scenario: Assume you have the following "Customers" table: You can use the UPPER function as follows: Using the UPPER function, you can convert all names to uppercase: UppercaseName = ...
Post a Comment
Read more

Understanding the Power BI ecosystem and workflow

Understanding the Power BI ecosystem and workflow involves getting familiar with the various components of Power BI and how they interact to provide a comprehensive data analysis and visualization solution. Here's a detailed explanation: Power BI Ecosystem The Power BI ecosystem consists of several interconnected components that work together to enable users to connect to data sources, transform and model data, create visualizations, and share insights. The main components are: Power BI Desktop Power BI Service Power BI Mobile Power BI Gateway Power BI Report Server Power BI Embedded PowerBI Workflow Here’s a typical workflow in the Power BI ecosystem: Step 1: Connect to Data Sources Power BI Desktop:  Connect to various data sources like Excel, SQL databases, cloud services, and more. Power BI Gateway:  If using on-premises data sources, install and configure the gateway for secure data transfer. Step 2: Data Transformation and Modeling Power BI Desktop:  Use Power Query...
Post a Comment
Read more