Power BI Administration: Administering the Power BI Service

In the lecture "0201: Creating a Power BI Tenant" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to set up a Power BI tenant—the foundational step for enabling enterprise-grade analytics and reporting in your organization. This lecture is perfect for Udemy Business users looking for guidance on Power BI tenant setup, Microsoft 365 integration, and cloud region selection.

You'll walk through the sign-up process on powerbi.microsoft.com, including how to choose between a free trial or paid subscription. You’ll also explore the critical importance of selecting your data region, which determines where your Power BI data is stored—an irreversible decision that has long-term compliance and performance implications.

This session explains what a Power BI tenant is, how it fits within a Microsoft 365 environment, and the difference between shared vs. dedicated resources under Power BI Premium. Whether you're starting from scratch or expanding your Microsoft cloud capabilities, this lecture gives you the foundational knowledge needed to deploy and manage Power BI effectively within your organization.

In the lecture "0202: Corporate Branding" of the course "Power BI Administration: Administering the Power BI Service", you'll learn how to apply custom branding to your Power BI environment to align with your organization’s visual identity. This feature helps Power BI administrators create a consistent user experience by adding your company logo, cover image, and theme colour to the Power BI Service interface.

This lecture provides step-by-step instructions on how to check your admin privileges, prepare branding assets, and apply them effectively.

You’ll also learn best practices for choosing appropriate file formats (PNG or JPEG), resizing images for optimal display, and selecting a theme colour that complements your logo. The session includes a demonstration of previewing changes, publishing updates, and reverting to default branding if needed.

By the end of this lecture, you'll be able to confidently manage Power BI tenant branding, enhancing user trust and creating a seamless transition from your intranet or corporate systems to the Power BI workspace.

In the lecture "0203: Installing Power BI Desktop" of the course "Power BI Administration: Administering the Power BI Service", you'll learn how to install and manage Power BI Desktop—the free, Windows-based application used for creating data models and building reports. This session is ideal for Udemy Business learners searching for guidance on Power BI Desktop installation, Power BI for Windows, and cloud-based report editing.

You’ll explore two installation methods: via the Microsoft Store or by downloading the .exe installer. The Microsoft Store version is especially useful in managed IT environments, as it doesn't require admin rights and updates automatically with Microsoft’s monthly release cycle.

This lecture also covers when Power BI Desktop is necessary—and when it’s not. Many users, especially Mac users or report consumers, can perform all their reporting tasks directly in the Power BI Service, including editing reports in the browser.

You'll also pick up productivity tips like full-screen editing, hiding panes, and maximizing workspace. Whether you're deploying Power BI Desktop across an organization or supporting browser-based workflows, this lecture will help you make the right choices for your users and infrastructure.

In the lecture "0204: Power BI Licensing" of the course "Power BI Administration: Administering the Power BI Service", you’ll gain a clear, practical understanding of Power BI’s licensing structure—one of the most critical areas for effective governance and cost management. This lecture is essential for Udemy Business learners seeking clarity on Power BI Free vs. Pro, Power BI Premium, and licensing for report sharing and collaboration.

We break down the three core licensing tiers: Power BI Free, Power BI Pro, and Power BI Premium. You’ll learn how Free and Pro licenses apply at the individual level, while Premium is a tenant-wide solution designed for enterprise-scale reporting.

You’ll also explore licensing scenarios for content creators vs. consumers, the limitations of the Power BI Pro trial, and why even Premium environments still require Pro licenses for developers and publishers. This session helps you make informed decisions about Power BI cost optimization, collaborative access, and report distribution strategies.

By the end, you’ll understand how to align your organization’s licensing model with its reporting needs, ensuring both flexibility and control in your Power BI environment.

In the lecture "0205: Power BI Tenant Settings" of the course "Power BI Administration: Administering the Power BI Service", you'll learn how to effectively configure Power BI tenant settings to enforce governance, manage feature access, and tailor the Power BI experience across your organization. This is a must-watch for Udemy Business learners interested in Power BI governance, feature management, and security group-based access control.

Tenant settings in the Power BI Admin Portal offer administrators the ability to define how users interact with content, share data, and use advanced features. You'll explore the different configuration options—disable for all, enable for all, or enable for specific security groups—as well as advanced exclusions that give you granular control over access.

This lecture also covers practical tips for applying and testing tenant settings, including how to handle delays in configuration changes and understand conflicting group permissions.

By the end, you'll be equipped to confidently manage tenant-level policies that support your Power BI governance strategy, helping you maintain control while still enabling collaboration and productivity.

In the lecture "0300: Overview of Workspace Administration" of the course "Power BI Administration: Administering the Power BI Service", you'll be introduced to the foundational concepts of Power BI workspace management—a critical element of effective governance in any Power BI deployment. This welcome lecture sets the stage for Udemy Business learners looking to streamline workspace creation, access control, and content organization.

You’ll learn how all Power BI content—reports, datasets, dashboards—is housed within workspaces, and why controlling their creation is essential to avoid chaos as adoption scales. The lecture highlights best practices for avoiding workspace sprawl, including how to restrict creation permissions using security groups in the Power BI Admin Portal.

Additionally, you'll explore strategies for designing a clear, logical workspace structure that separates content creators, approvers, and end users. It introduces the concept of using Power BI apps for content consumption, reserving workspace access for development and testing.

By the end of this overview, you’ll understand how to lay the groundwork for scalable, secure, and organized workspace administration within your Power BI environment.

In the lecture "0301: Designing Workspace Structures" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to create an effective and scalable Power BI workspace architecture that supports organizational clarity and content governance. For Udemy Business learners focused on Power BI workspace best practices, workspace naming conventions, and Power BI content management, this lecture provides essential guidance.

Power BI does not offer native tools for workspace grouping or hierarchy. As a result, the responsibility of structuring workspaces falls on administrators. You’ll discover how to design logical workspace structures using naming conventions, such as prefixes for country, department, and function, to maintain order and improve user navigation.

The lecture also addresses how to determine workspace granularity—whether to consolidate content or split it across multiple, focused workspaces. You’ll explore how to align your workspace design with enterprise information management policies, ensuring consistency with other platforms like SharePoint or Microsoft Teams.

By applying these principles, you’ll build a Power BI environment that is easy to manage, scalable across departments, and optimized for collaboration and user experience.

In the lecture "0302: Workspace Settings" of the course "Power BI Administration: Administering the Power BI Service", you'll explore the critical admin-level controls available under Workspace Settings in the Power BI Admin Portal. Designed for Udemy Business learners focused on Power BI governance, workspace creation policies, and semantic model sharing, this session outlines how to create a more secure and scalable analytics environment.

The lecture covers three essential settings:

1. Controlling Workspace Creation – Learn how to restrict who can create workspaces by limiting permissions to specific security groups, helping prevent uncontrolled workspace growth.

2. Using Semantic Models Across Workspaces – Discover how to enable semantic model reuse across different workspaces to maintain a single source of truth and reduce duplication. You'll see how organizations can centralize data in a "Data Only" workspace and securely share models using permission-based access.

3. Blocking Classic Workspace Creation – Understand why it’s best to disable legacy Classic Workspaces, which rely on Microsoft 365 Groups, in favor of the more modern, flexible Power BI workspace experience.

By configuring these settings, you'll ensure consistency, governance, and efficiency in your Power BI tenant architecture.

In the lecture "0303: My Workspace" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn about the role and limitations of My Workspace in the Power BI environment. Designed for Udemy Business learners seeking clarity on Power BI personal workspaces, workspace visibility, and user-specific access, this lecture provides a focused overview of this often-overlooked feature.

Every Power BI user is automatically assigned a private My Workspace—a personal area intended for individual report development and experimentation. Unlike shared or corporate workspaces, My Workspace is accessible only to the individual user and cannot be managed or viewed by administrators through the standard Power BI interface.

You’ll see what My Workspace looks like for a brand-new user and understand its intended use cases, such as draft report creation or testing data models before publishing to a shared workspace.

This lecture is essential for administrators defining Power BI workspace governance policies and deciding whether to allow users to publish content from My Workspace or restrict development to controlled environments.

In the lecture "0304: Workspace Creation" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to create and configure new Power BI workspaces—a foundational skill for managing content in a secure and organized way. This lecture is ideal for Udemy Business learners searching for guidance on how to create a Power BI workspace, workspace customization, and report distribution setup.

Once granted the proper permissions, creating a workspace is quick and user-friendly. You’ll walk through naming a workspace (e.g., UK Sales), uploading a workspace image for visual identification, and writing a clear workspace description to communicate its purpose and intended audience.

You’ll also learn best practices for setting up a workspace that supports scalable content management, improves user navigation, and prepares your environment for report sharing and Power BI app deployment.

By the end of this video, you’ll understand how to create a workspace that’s not just functional—but optimized for collaboration, governance, and the long-term success of your Power BI deployment.

In the lecture "0305: Assigning Workspace Roles" of the course "Power BI Administration: Administering the Power BI Service", you'll learn how to manage Power BI workspace access effectively by assigning users the appropriate roles. This lecture is ideal for Udemy Business learners looking to implement role-based access control in Power BI and understand how to securely manage workspace permissions at scale.

Power BI App Workspaces support four distinct roles—Viewer, Contributor, Member, and Admin—each providing different levels of access to reports, dashboards, and semantic models. You'll explore how to assign these roles through the Power BI Service, and why using security groups instead of individual users streamlines long-term workspace governance.

This session breaks down each role's capabilities, from Viewers who only need read access, to Contributors and Members who develop and share content, and Admins who oversee all workspace settings and user management. Real-world scenarios and step-by-step walkthroughs show how to assign roles based on job responsibilities.

By the end of this lecture, you'll be equipped to design a scalable and secure Power BI workspace permission strategy that aligns with your organization's collaboration and governance needs.

In the lecture "0306: Using Deployment Pipelines" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to implement structured, multi-environment workflows using Power BI deployment pipelines. This is a must-watch for Udemy Business users searching for best practices in Power BI lifecycle management, report version control, and enterprise BI deployment.

Deployment pipelines allow administrators and developers to manage content across Development, Test, and Production stages—each tied to its own workspace. You’ll learn how to set up pipelines using Power BI Premium, Premium Per User (PPU), or Power BI Embedded, and configure parameters to streamline data source switching across environments.

The lecture walks through real-world steps, including:

• Creating workspaces and assigning capacity

• Publishing content from Power BI Desktop

• Setting and managing deployment parameters

• Controlling access via roles and security groups

• Deploying and testing updates before pushing to production

By the end, you'll understand how to use deployment pipelines to ensure governed, error-free report releases—making this an essential tool for teams managing complex, evolving Power BI environments.

In the lecture "0400: Data Governance Overview" of the course "Power BI Administration: Administering the Power BI Service", you'll gain a strategic introduction to Power BI data governance—a critical area for organizations aiming to ensure data quality, consistency, and security across their reporting environments. This welcome lecture sets the tone for Udemy Business learners interested in topics like semantic model management, data refresh governance, and Power BI best practices for enterprise environments.

You’ll explore the purpose of data governance in Power BI, including how to prevent data duplication and maintain a single version of the truth through shared semantic models, PBIDS files, and certified datasets. The session also introduces tools like Analyse in Excel, dataflows, and the On-Premises Data Gateway, showing how they support scalable, secure, and centralized data access.

Whether you're a Power BI administrator, data steward, or IT manager, this lecture will help you understand how to align Power BI with broader organizational governance strategies—ensuring reliable insights, reduced redundancy, and efficient data lifecycle management.

In the lecture "0401: Live Data Connections versus Exporting" of the course "Power BI Administration: Administering the Power BI Service", you’ll explore the crucial differences between live data connections and static data exports in Power BI. This lecture is essential for Udemy Business learners focused on data consistency, semantic model governance, and Power BI Analyse in Excel best practices.

While Power BI allows exporting data to Excel or CSV, this introduces risks—exported files quickly become outdated and disconnected from the source. Instead, this session highlights why live connections and the Analyse in Excel feature are the preferred options for maintaining data integrity and ensuring a single version of the truth.

You’ll learn how to activate and configure the Allow Live Connection tenant setting to enable users to connect directly to shared semantic models, build PivotTables, and create Excel dashboards backed by real-time data. This capability empowers users while reinforcing governance.

By the end of this lecture, you’ll understand how live data access enhances collaboration, eliminates version conflicts, and aligns with your organization’s broader Power BI data governance strategy.

In the lecture "0402: Centralizing Data Cleansing with Dataflows" of the course "Power BI Administration: Administering the Power BI Service", you’ll discover how to use Power BI dataflows to centralize data transformation and improve data consistency across your organization. This session is ideal for Udemy Business learners interested in Power BI data modeling, dataflow setup, and shared semantic models.

Dataflows allow Power BI administrators and data professionals to move transformation logic from individual reports into a central, cloud-based location—ensuring reusable, consistent data preparation. You’ll learn how to create a dataflow in the Power BI service, connect to cloud-based data sources using the Web API connector, and perform key Power Query Online transformations.

The lecture also explores how to build shared semantic models from dataflows, enabling multiple reports and teams to rely on a single version of truth. You’ll see how to configure locale settings, manage data types, limit row volume, and refresh dataflows to ensure up-to-date analytics.

By the end, you’ll understand how to enforce Power BI governance through data centralization, reduce redundancy, and streamline your data management process using dataflows.

In the lecture "0403-Centralizing Data with Shared Datasets (Semantic Models)" of the course "Power BI Administration: Administering the Power BI Service", you'll learn how to build and publish a shared semantic model (also known as a shared dataset) to support centralized data management in Power BI. This lecture is ideal for Udemy Business learners searching for best practices in Power BI data modeling, semantic model sharing, and governed report development.

Starting from a Power BI dataflow, you’ll connect to centralized data entities and construct a reusable semantic model using Power BI Desktop. You'll explore how to define relationships, organize calculated measures using a _Measures table, and build logic like Number of Collisions = COUNTROWS(Collisions).

Once the model is complete, you’ll publish it to a dedicated workspace, separating your data layer (e.g., "Data Central") from your reporting layer (e.g., "Report Central"). Then, you'll see how report developers can connect to the shared semantic model as a read-only data source, ensuring consistency while allowing flexibility for custom measures.

This centralized approach reduces duplication, improves governance, and supports scalable Power BI environments across your organization.

In the lecture "0404: Using PBIDS Files" of the course "Power BI Administration: Administering the Power BI Service", you'll learn how to use PBIDS files to create standardized, reusable Power BI data source connections. This lecture is essential for Udemy Business users focused on Power BI governance, data modeling best practices, and streamlining onboarding for report developers.

PBIDS (Power BI Data Source) files are lightweight JSON files that define how Power BI connects to databases, files, web sources, or cloud services. By using PBIDS files, organizations can enforce consistent connection configurations, reduce errors, and accelerate setup for new users.

You’ll explore real-world examples for connecting to web APIs, CSV and Excel files, folders, and SQL Server databases, including details on protocols, paths, and authentication settings. You’ll also learn how to export PBIDS files directly from Power BI Desktop—ensuring accuracy without manually writing JSON.

By the end of this lecture, you’ll know how to create, modify, and deploy PBIDS files as part of a centralized data governance strategy, enabling scalable and consistent report development in your Power BI environment.

In the lecture "0405: Using Microsoft Dataverse" of the course "Power BI Administration: Administering the Power BI Service", you'll learn how to connect and integrate Microsoft Dataverse with Power BI to enable centralized, structured reporting across business data. Ideal for Udemy Business learners seeking to understand Power BI and Dataverse integration, Power Apps data reporting, and semantic modeling, this session walks through the full process—from connection to visualization.

Formerly known as the Common Data Service, Dataverse is a scalable, user-friendly database platform used in Power Platform environments, offering prebuilt and customizable tables. You’ll learn how to access Dataverse through the Power Apps Admin Centre, retrieve the environment URL, and connect it to Power BI using either Import Mode or DirectQuery.

This lecture demonstrates how to filter essential columns, transform data in Power Query Editor, define relationships between tables like Account and Contact, and create clean, functional reports. You’ll also learn how to format visuals for clarity and save your final report.

By the end, you’ll understand how to use Dataverse as a governed, centralized data source for enterprise-grade Power BI reporting.

In the lecture "0406: Choosing a Storage Mode" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to select the most appropriate Power BI storage mode—Import, DirectQuery, Composite, or Dual—based on performance, data freshness, and transformation needs. This lecture is ideal for Udemy Business users searching for insights on Power BI data storage options, DirectQuery vs Import, and composite models in Power BI.

You’ll explore the strengths and limitations of each storage mode:

• Import Mode offers fast performance and full feature support but requires scheduled data refreshes.

• DirectQuery Mode connects live to the data source for real-time analytics but depends heavily on source performance and limits complex transformations.

• Composite Mode lets you blend Import and DirectQuery tables, supporting hybrid data models.

• Dual Mode gives Power BI the flexibility to choose the optimal query path at runtime, improving both performance and data accuracy.

You’ll also learn how to identify storage modes in Power BI Desktop, manage relationships, and optimize performance using features like Assume Referential Integrity.

In the lecture "0407: Using Data Source Parameters" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to use Power Query parameters to dynamically switch between data sources—such as Excel files and SQL Server databases—within a single Power BI report. This lecture is perfect for Udemy Business users focused on Power BI data source migration, parameter-driven data models, and Power Query automation.

You’ll build a flexible architecture using five key parameters: one to define the source type, one for the Excel file path, and three for SQL Server connection details. Then, using a custom M function, you’ll control which source is used—ensuring that reports can be updated without rewriting queries.

This session includes:

• Creating and managing Power Query parameters

• Writing conditional logic in M to toggle between Excel and SQL Server

• Reusing a central function to load multiple tables like Sales, Clients, and Staff

• Testing your parameter switch to ensure seamless transitions

By the end, you’ll know how to future-proof your Power BI projects by enabling data source flexibility and portability using dynamic parameters.

In the lecture "0408: Promoting and Certifying Datasets (Semantic Models)" of the course "Power BI Administration: Administering the Power BI Service", you'll learn how to use Power BI dataset endorsement to establish trust, consistency, and clarity across your organization's reporting environment. This session is ideal for Udemy Business learners seeking best practices for Power BI dataset certification, semantic model governance, and Power BI data cataloging.

As your Power BI environment grows, it's common to accumulate multiple datasets—some reliable, others experimental. To help users identify trusted sources, Power BI provides two levels of semantic model endorsement:

• Promoted (self-endorsed by the dataset owner)

• Certified (formally approved by data governance teams or admins)

You'll learn how to promote a semantic model directly within the Power BI Service, and how to configure certification permissions in the Power BI Admin Portal, including setting up security groups for dataset certification.

This lecture also shows how endorsed semantic models appear in Power BI Desktop, ensuring users can quickly find and use the most authoritative datasets. By applying endorsement practices, you'll improve data discoverability, report accuracy, and organizational confidence in Power BI reporting.

In the lecture "0409: Granting Access to Datasets (Semantic Models)" of the course "Power BI Administration: Administering the Power BI Service", you'll learn how to securely and efficiently manage access to Power BI semantic models (datasets). This lecture is essential for Udemy Business users searching for guidance on Power BI dataset permissions, workspace app access, and semantic model sharing best practices.

When you publish a report from Power BI Desktop, a semantic model is created in the workspace alongside the report. To allow others to build their own reports using that dataset, you must explicitly grant access. This video covers two proven methods:

1. Direct Access – Ideal for granting report-building rights to a specific dataset. You'll learn how to use Manage Permissions to add users or security groups with Build permissions.

2. Workspace App Access – Best for broader access across multiple semantic models. You'll learn how to configure Build permissions via Power BI apps, streamlining access across teams.

By the end, you’ll understand when to use each method and how to align Power BI access control with your organization's governance model.

In the lecture "0410: On-Premises Data Gateway Setup" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to install, configure, and manage the Power BI On-Premises Data Gateway—a critical tool for enabling secure, real-time access to on-premises data sources. This lecture is ideal for Udemy Business learners interested in Power BI gateway configuration, DirectQuery connectivity, and hybrid data access.

The gateway supports both Import Mode (for scheduled refreshes of files like Excel or CSV) and DirectQuery Mode (for live queries to on-prem SQL Server). You’ll walk through downloading the gateway, installing it in Enterprise Mode, and registering it as part of a new or existing cluster.

This lecture also covers:

• Gateway clustering for redundancy

• Connecting Power BI to SQL Server

• Setting up and managing gateway data sources in the Power BI Service

• Mapping semantic models to the gateway for DirectQuery functionality

By the end, you'll be equipped to enable secure, scalable, and real-time reporting from on-premises data sources—an essential skill for enterprise-grade Power BI deployments.

In the lecture "0411: Creating Refresh Schedules" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to set up and manage data refresh schedules in Power BI to ensure your imported semantic models remain up to date with on-premises data sources. This lecture is essential for Udemy Business users looking to master Power BI scheduled refresh, gateway-based refresh, and data synchronization best practices.

Using the On-Premises Data Gateway, you’ll walk through configuring refresh settings for an Import Mode semantic model (e.g., Event Sales). After confirming the gateway and data source mappings, you’ll explore the Scheduled Refresh section in the Power BI Service, where you can define how often the data should update.

You’ll learn how to:

• Set daily or multiple refresh intervals (up to 8 per day for standard workspaces)

• Increase refresh frequency (up to 48 per day) in Power BI Premium workspaces

• Apply and verify the schedule to keep your reports accurate and timely

By the end, you’ll know how to confidently automate Power BI data refreshes, keeping your insights aligned with live business data.

In the lecture "0412: Implementing Incremental Refresh" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to optimize Power BI refresh performance using incremental refresh—a key feature for managing large semantic models and ensuring scalable data operations. This lecture is perfect for Udemy Business users searching for guidance on Power BI performance tuning, query folding, and efficient data refresh strategies.

By default, Power BI refreshes the entire dataset, which becomes inefficient for large volumes of data. Incremental refresh solves this by only refreshing the data that has changed, dramatically reducing refresh time and improving reliability.

You’ll learn how to:

• Create required RangeStart and RangeEnd parameters in Power Query

• Apply filters to date columns (e.g., Invoice Date) for incremental logic

• Ensure query folding is maintained for optimal performance

• Configure the Incremental Refresh policy in Power BI Desktop

• Define storage and refresh windows (e.g., retain 6 years, refresh last 1 month)

• Use optional settings like Detect data changes and Only refresh complete periods

By the end, you'll know how to implement incremental refresh to keep large Power BI models efficient, timely, and ready for enterprise reporting.

In the lecture "0413: Large Semantic Model Storage Format" of the course "Power BI Administration: Administering the Power BI Service", you’ll learn how to configure and manage large-scale semantic models in Power BI using the Large Semantic Model Storage Format—a must-know for Udemy Business users working with big data in Power BI, Premium capacities, or enterprise-scale reporting.

By default, Power BI semantic models are limited to 1 GB in shared workspaces and 10 GB in Premium workspaces. However, enabling Large Semantic Model Storage Format allows you to scale datasets beyond this limit—up to 400 GB, similar to Azure Analysis Services.

This lecture walks you through:

• Enabling Large Semantic Model Storage Format at the workspace level (Premium Per User, Premium Per Capacity, or Embedded)

• Applying the setting at the dataset (semantic model) level for existing models

• Understanding when and how storage mode settings take effect

• Configuring scheduled refreshes to keep large semantic models up to date

By the end, you’ll be equipped to manage and scale Power BI datasets for high-volume, enterprise-grade analytics with optimal performance and reliability.