Microsoft Power BI Desktop changes the game by turning complex data into beautiful, interactive visuals¹. This guide covers the newest features like storytelling on all devices, advanced templates, and Python visuals¹. It’s your ticket to a world where data springs to life, helping you make smart choices and boost your business.

Power BI Desktop makes exploring data exciting. You can craft dashboards and reports that grab attention¹. It lets you slice and dice data, add custom metrics, and get ahead in the game¹. Learn how to turn data into clear insights that lead to better decisions¹.

Power BI Desktop offers many visualization options to match your industry and audience¹. You can share your findings securely online and on mobile, making sure your message spreads far and wide¹.

If you’re an Excel pro, a business manager, or a BI expert, Power BI Desktop unlocks your data’s full potential¹. Written by an author with 25 years of SQL Server experience, this guide is your go-to for data visualization¹.

Key Takeaways

• Discover the latest features and capabilities of Microsoft Power BI Desktop
• Learn how to create stunning, interactive data visualizations that drive informed decision-making
• Explore advanced data preparation, modeling, and reporting techniques
• Gain insights into leveraging Power BI for competitive advantage across various industries
• Understand the diverse career opportunities available for Power BI professionals

Introduction to Power BI Desktop

Power BI Desktop is a powerful tool for data visualization and business intelligence. It helps users turn raw data into meaningful insights². It has many features that work well together. Users can connect to different data sources, prepare data, create visualizations, and share findings². It’s great for businesses of all sizes, from small Excel spreadsheets to big databases and cloud services².

Understanding the Power of Data Visualization

Power BI Desktop shines by turning data into easy-to-understand visuals². It uses data modeling and visualization to show hidden patterns and trends in data. This leads to better decision-making². Its easy interface and many visualization options make it a key tool for professionals in many fields².

Overview of Power BI Desktop Features

Power BI Desktop has a wide range of features for data lovers and business analysts². It combines Microsoft’s query engine, data modeling, and visualization technologies. This lets users make insightful data models². It also has strong data shaping tools, making it easy to change data types and adjust it².

One key feature is its ability to keep track of data shaping steps clearly². Users can easily remove rows or columns and use the Power Query Editor through menus or right-click options². It also warns users about actions that might break the query, helping avoid mistakes².

Power BI Desktop gets updates every month, adding new features and listening to customer feedback³. Users need to update to the latest version to get new capabilities and support from customer service³.

The Power BI family includes Power BI Desktop, Power BI Service, and Mobile apps⁴. Users can pick the right Power BI tool based on their role, like stakeholders using the Service or Mobile app, or developers using Power BI Desktop⁴.

“Power BI Desktop is a game-changer for data-driven organizations, empowering users to unlock the true potential of their data and make informed decisions that drive business success.”

Connecting to Data Sources

Power BI Desktop is great at connecting to many data sources. This makes it perfect for businesses that need to bring together data from different places⁵. It can connect to files, databases, and even cloud services⁵.

Supported Data Sources in Power BI Desktop

In Power BI Desktop, you can connect to databases like SQL Server and Oracle⁵. It also connects to Azure services such as Azure SQL Database and Azure Blob Storage⁵. Plus, it has connections to cloud services like Dynamics 365 and Google Analytics⁵.

Power BI Desktop also connects to Microsoft Fabric sources like Power BI semantic models and dataflows⁶. It includes connections to Power Platform services like Power BI dataflows and Dataverse⁶.

Establishing Data Connections

To connect to data, you can download Power BI Desktop for free⁷. You just pick a data source, like an Excel file, and enter the connection details⁷.

Power BI Desktop also has template apps for connecting to third-party data sources⁶. These apps make it easy to create reports quickly. For beginners, PBIDS files help simplify the data connection process in Power BI Desktop⁵.

With Power BI Desktop, you can easily combine data from many sources. This makes it great for analyzing and visualizing data⁵⁷⁶.

Data Preparation with Power Query

Getting your data ready is key to making great Power BI reports and dashboards⁸. Power Query, a tool built into Power BI, helps clean, shape, and combine data from different places. Learning Power Query is vital for making sure your data is ready for analysis and looks good in Power BI Desktop.

Cleaning and Shaping Data

Power Query lets users transform data by filtering, handling missing values, and adding new columns⁹. It guides you step by step to get your data right for analysis⁹. It also has tools to check data quality and fix import errors, making sure your data is trustworthy in Power BI⁹.

Merging and Transforming Queries

Power Query can join tables by matching fields, which is great for deep analysis⁹. By combining data from different sources, users can build strong reports and dashboards in Power BI Desktop⁸.

Power BI has tools like Power Query and Dataflows for data prep⁸. But, using a special ETL/ELT tool is often better for Power BI due to issues with reusing data and some features needing a paid subscription⁸. Keboola, a data service, offers a free plan for testing ETL pipelines with Power BI and has over 250 connectors for data⁸.

“Data preparation in analytics projects is estimated to consume 60%-80% of time and cost.”¹⁰

Learning Power Query is key in the Power BI process. It helps users clean, shape, and combine data from various sources. This makes it easier to create insightful reports and dashboards. With Power Query, Power BI Desktop users can make sure their data is ready for deep analysis and looks great.

Data Modeling in Power BI Desktop

Building a strong data model is key to making insightful visuals and reports in Power BI Desktop. By using best practices for data modeling, users can fully tap into their data’s potential. This lets them do deep analyses¹¹.

Star Schema and Relationship Creation

The star schema is a top method for data modeling in Power BI. It puts data into a central fact table with related dimension tables around it. This makes it clear how data points connect¹². Power BI Desktop’s tools help users easily set up and manage these connections. This makes getting and analyzing data efficient¹².

Setting up relationships between data sources is also key. Power BI Desktop makes it simple to link tables, whether they come from one or many places¹². This lets users blend data smoothly and do complex queries¹².

Time Intelligence with Date Tables

Handling time-based analysis is vital for many business solutions. Power BI Desktop makes this easier by letting users create special date tables¹¹. These tables help organize time data, making it easy to do things like compare years or track growth over time¹¹.

Being able to go deeper into time levels (like from Years to Months) adds more to the analysis in Power BI reports¹¹. This lets users find insights that would be hard to see without a good data model¹¹.

In short, Power BI Desktop’s tools for data modeling, like star schemas, managing relationships, and date tables, lay the groundwork for detailed and insightful business intelligence¹¹¹²¹³.

“Effective data modeling is the cornerstone of powerful data visualization and analysis in Power BI Desktop.” – Power BI Expert

Visualizing Data with power bi desktop

Power BI Desktop is a top tool for making data easy to understand. It has many ways to show data, from simple charts to complex maps and custom visuals¹⁴. This makes it great for different kinds of data reports¹⁴.

Choosing the Right Visualization Types

Choosing the right chart or graph is key to how people see the data. Power BI Desktop has many options like area charts and scatter charts¹⁴. The goal is to pick the best one for the data and the story you want to tell¹⁵.

Customizing Visuals for Effective Communication

Power BI Desktop lets users make their visuals better. Things like colors, labels, and layout are important for making reports that grab attention and get the message across¹⁵.

Users can adjust how their visuals look and work. This makes sure the data is clear and interesting. It helps show important points, understand things better, and make good decisions¹⁵.

With Power BI Desktop, users can make reports and dashboards that share complex info well. This helps people quickly get the main points and make smart choices¹⁵.

Creating Interactive Reports

Power BI Desktop makes reports interactive, letting users explore data deeply. This way, they can find insights that might be missed in regular reports¹⁶. Features like cross-filtering and drill-through actions help users dive deeper into the data. This gives them a better understanding of the information¹⁷.

Cross-Filtering and Drill-Through Actions

Cross-filtering lets users filter one visual based on another, making reports dynamic¹⁷. This helps users see how different data points relate to each other. Drill-through actions let users click on data to see more details. This way, they can find specific insights¹⁸.

Bookmarks for Seamless Data Exploration

Bookmarks in Power BI Desktop make switching between data views easy¹⁷. They help users tell a strong data story, showing important insights. This makes exploring data smooth, helping users find hidden patterns and trends¹⁶.

Power BI Desktop is great for both data analysts and business users. It offers interactive features for making reports that help in making informed decisions¹⁷. By using cross-filtering, drill-through, and bookmarks, you can fully use your data. This way, you can share insights that really matter¹⁸.

“Power BI Desktop’s interactive features empower users to explore data, uncover insights, and make informed decisions with confidence.”

Feature	Description
Cross-Filtering	Seamless filtering of one visual based on the selection in another, enabling users to explore relationships between data points.
Drill-Through Actions	Ability to access more detailed information by clicking on a specific data point, providing granular-level insights.
Bookmarks	Create and switch between different data views, allowing users to tell a more compelling data story and guide their audience through key insights.

¹⁶¹⁷¹⁸

Mastering DAX Formulas

Power BI Desktop users can unlock the platform’s full power by learning Data Analysis Expressions (DAX). DAX is key for advanced data analysis and complex calculations. It helps users make decisions that boost their company’s profits¹⁹.

Aggregations and Calculations with DAX

DAX lets users do advanced data analysis with its functions. These functions can be nested up to 64 levels deep, but most formulas don’t go that deep¹⁹. Filtering data in DAX formulas is crucial and can greatly affect the results¹⁹. Functions like PREVIOUSQUARTER help analyze historical trends in Power BI Desktop¹⁹.

Writing DAX formulas correctly is very important. If the syntax is wrong, you might get unexpected results¹⁹. The DAX editor in Power BI Desktop helps fix syntax errors with suggestions¹⁹. The CALCULATE function is useful for filtering and complex calculations in DAX¹⁹. Using measures like Total Sales in DAX formulas makes the model more efficient¹⁹.

Advanced DAX Concepts: Filter Context and Iterators

Power BI Desktop users can dive into advanced DAX topics like filter context and iterators. These concepts help create complex and dynamic measures and columns¹⁹. Writing efficient DAX formulas improves data analysis and the model’s performance¹⁹. This leads to better insights, solving business problems, and making data-driven decisions¹⁹.

To learn these advanced DAX concepts, Power BI Desktop users can take the “Mastering DAX Formulas in Power BI” course. It has over 15 hours of lectures and 15-20 hours of exercises, rated by 553 students²⁰. The course is praised for its effective exercises and the understanding it provides²⁰. It covers topics like advanced evaluation contexts and complex DAX functions²⁰.

The “Power BI Query Editor – Master Data Transformation” course is also helpful. It focuses on ETL procedures, Power Query, and M Language²¹. The course shows how to organize data for better performance and simplicity in DAX formulas²¹. It also talks about data normalization for complex data models²¹.

Mastering DAX formulas lets Power BI Desktop users fully use the platform. It turns raw data into insights that drive success. With dedicated training and continuous learning, users can become Power BI data analysis experts.

Publishing and Sharing Reports

The Power BI ecosystem makes it easy to share reports. Users can publish their work to the Power BI Service²². This cloud platform is great for managing reports, refreshing data, and creating interactive dashboards²².

To share a report, just hit “Publish” in Power BI Desktop²². This uploads the report to your Power BI workspace. Now, your colleagues and stakeholders can access it²². You can share reports with others, making it easy to work together and share insights²³.

Power BI lets you choose how to share reports. You can give people view-only or edit rights²³. Reports can be shared through the Power BI apps, OneDrive, or SharePoint, so people can check them out anytime, anywhere²³.

When you update a report, Power BI helps keep everything safe. It asks you to confirm changes and makes sure your visuals and data links stay right²².

Power BI also supports teamwork. Teams with Pro or Premium Per User (PPU) licenses can work together on reports and dashboards²³²⁴. This way, everyone can improve the reports together, making sure the whole team is on the same page²⁴.

Power BI’s sharing tools help organizations use their data better. They give decision-makers quick, easy access to important insights. This helps teams work together better, making decisions based on solid data. It’s all about making the most of your data for success²²²³²⁴.

Power BI Mobile: On-the-Go Insights

In today’s fast-paced world, having access to important data anytime is key. Power BI’s mobile app lets users stay connected to their data anywhere. Power BI mobile apps work on iOS, Android, and Windows²⁵. This means you can use this powerful tool even when you’re not at your desk²⁶.

The app lets you easily get to cloud and on-premises data. This means you always have the insights you need²⁶. You can view, analyze, and interact with your data in real time. Features like cross-highlighting and filtering make it easy²⁶.

For managers, the app has special features. You can view data offline, filter by location, and scan barcodes for quick data access²⁶.

The app’s home page is a central spot for quick access to reports and dashboards²⁶. Navigation is easy, with many ways to find what you need. You can tap, press, and hold on items to dive into the data²⁶.

Power BI also offers quick data access, alerts for changes, shortcuts for reports, and easy sharing²⁶. For iOS users, Siri helps with shortcuts. Android users get shortcuts on their home screens²⁵.

Power BI’s mobile features help users stay on top of their data. Access real-time dashboards and get alerts on the go. Power BI Mobile is key for making smart decisions in today’s fast-paced world²⁷.

Power BI also works with Microsoft Teams for easy sharing and collaboration²⁷. You can customize dashboards to fit your needs. And, with biometric authentication, your data stays safe²⁷.

Whether you’re tracking shipments, accessing data on the job, or making decisions on the go, Power BI Mobile keeps you connected. Unlock the power of data visualization anywhere with Power BI²⁶²⁷²⁵.

Securing Your Data with Row-Level Security

Organizations rely more on power bi desktop data security for making data-driven decisions. They need to keep sensitive info safe and sound. Power BI Desktop has a strong tool called row-level security (RLS). It lets users control who sees what data based on their roles and permissions²⁸.

RLS makes data governance easy. It sets up access rules for each user or group. This way, everyone only sees the data they’re allowed to²⁸. You can use RLS with data models or live connections, like SQL Server²⁸. For live models, set up RLS right in the model²⁸.

RLS doesn’t block access for Admins, Members, or Contributors in Power BI²⁸. You define roles and rules in Power BI Desktop and then share them with the Power BI Service²⁸. When making these roles, use DAX expressions to filter data by certain conditions²⁸.

Use functions like username() or userprincipalname() in DAX to set up dynamic security²⁸. You can also enable bi-directional cross-filtering for specific relationships²⁸.

Power BI Desktop has a better row-level security editor for easier setup²⁸. In the Power BI service, assign users to these roles and test them to make sure access is correct²⁸.

RLS roles apply to Viewer role members in workspaces, even if they can build the semantic model²⁸. This keeps data safe and follows rules, no matter the user’s permissions.

Using row-level security in Power BI Desktop helps balance data access and security²⁸. It’s key for power bi desktop data security and data governance. This feature protects data and keeps it safe for everyone²⁸.

Securing Data Across Power BI Platforms

Power bi desktop data security also works on Power BI Report Server²⁹. Users with certain permissions can control who sees what in reports²⁹.

For live datasets, you might not see the security option right away²⁹. You need to set up RLS on the model in Analysis Services first²⁹. Use DAX expressions to make the rules for security, making sure data access is correct²⁹.

The “View as roles” feature lets users check how different roles see the data²⁹. On Power BI Report Server, you can change who’s in security roles by certain permissions²⁹.

Having row-level security across Power BI keeps data safe and lets users see what they need²⁹.

Navigating the Complexities of Row-Level Security

Setting up row-level security in Power BI Desktop is complex, with both static and dynamic options³⁰. Start by making roles and putting users in them, controlling who sees what data³⁰.

Static security uses fixed filter values in DAX, while dynamic security uses functions like username() for user-specific access³⁰. This way, security stays strong even after publishing the model many times³⁰.

Power BI Desktop has a “View As Roles” feature for testing security setups³⁰. After defining roles and filters in Power BI Desktop, manage user assignments in the Power BI Service³⁰.

Mastering row-level security in Power BI lets organizations use their data fully while keeping it safe²⁸²⁹³⁰. This feature helps businesses control data access, build trust, and make informed decisions²⁸²⁹³⁰.

Advanced Power BI Features

Power BI users can dive into advanced features as they get better at using the platform. Dataflows and AI-powered insights are key areas to focus on. They make data preparation and analysis better³¹.

Dataflows and AI Capabilities

Dataflows help Power BI users manage and reuse data preparation steps. This makes getting data ready for analysis easier. Users can create a library of steps to use again, saving time and effort³¹.

Power BI’s AI tools like Quick Insights and Key Influencers find hidden patterns in data. These tools use smart algorithms to give valuable insights. This helps users make better decisions³²³³.

Performance Optimization Techniques

As Power BI reports get bigger and datasets grow, making them run smoothly is key. Using the right data types, not overloading pages with visuals, and query folding in Power Query can help. These methods keep reports fast and easy to use³¹.

Tools like Performance Analyzer help find and fix slow parts in reports. By tackling these issues, Power BI users can make reports work well, even with big or complex data³¹.

Power BI’s advanced tools, including dataflows, AI, and performance tips, help users get deeper insights. They make preparing data easier and improve how well business intelligence works³¹³²³³.

“By using Power BI’s advanced features, companies can get ahead with better predictions, efficient data prep, and faster reports.”

Conclusion

Mastering Power BI Desktop opens up a world of possibilities for data analysis and visualization³⁴. It lets you connect to various data sources and shape your data. You can also create compelling visualizations and share insights across your organization³⁵. Power BI is a widely used business intelligence solution with over 115 million users and a cloud service starting at $9.99 per user per month³⁵.

By practicing and expanding their skills, Power BI Desktop users can become experts in business intelligence and data-driven decision-making. This helps their organizations thrive in the data-driven world³⁶. The Power CAT Adoption Maturity Model, the Power Platform Center of Excellence Starter Kit, and the Power Platform adoption best practices offer valuable resources. They help users and organizations fully adopt and leverage the Microsoft Power Platform.

Power BI Desktop is great for exploring data, designing visualizations, or sharing insights³⁴. By mastering its advanced features like DAX formulas, performance optimization, and AI-powered features, users can unlock deeper insights. This leads to impactful business outcomes³⁵. With Microsoft’s regular updates, Power BI Desktop users can stay ahead and use the latest advancements in business intelligence.

FAQ

What is Power BI Desktop?

Power BI Desktop is a top tool from Microsoft for business analytics. It helps users see their data and share insights across the company. It includes tools for making reports, sharing them, and accessing insights on mobile devices.

What are the key features of Power BI Desktop?

Power BI Desktop has many features for working with data. Users can connect to different data sources, prepare data, make visualizations, and share insights. It works with everything from simple spreadsheets to complex databases and cloud services.

How does Power BI Desktop help with data preparation and transformation?

Power BI Desktop uses Power Query for data cleaning and shaping. Users can filter, merge queries, and create new columns. Learning Power Query is key for getting data ready for analysis and visualization.

What are the key data modeling techniques in Power BI Desktop?

A strong data model is crucial for Power BI reports. Users can use star schema and create table relationships. These methods help organize data for efficient reporting and complex analysis.

How can users create effective data visualizations in Power BI Desktop?

Power BI Desktop has many visualization options, from simple to complex. Users can pick the best visuals to show their data insights. Good visuals make complex information clear and engaging.

What are the key interactive features in Power BI Desktop?

Power BI reports are interactive, letting users explore data and find new insights. Users can cross-filter visuals and set up drill-through actions. This makes reports more engaging and informative.

How can users leverage DAX formulas in Power BI Desktop?

DAX is Power BI’s formula language, offering deep analytical power. Users can use DAX for complex calculations and insights. Learning advanced DAX helps create dynamic measures and columns.

How can Power BI Desktop reports be published and shared?

After making reports, Power BI Desktop users can publish and share them. They can use the Power BI Service for secure sharing within the company. This allows for report management, data refresh, and dashboard creation.

What are the security features in Power BI Desktop?

Power BI has strong security to protect business data. Users can use Row-Level Security (RLS) to control data access by role. This keeps data safe and in line with company rules.

What are some advanced features in Power BI Desktop?

Advanced users can explore features like dataflows and AI in Power BI Desktop. Dataflows centralize data preparation, and AI tools like Quick Insights find patterns in data. These features offer deeper insights and analysis.

How can users optimize the performance of their Power BI Desktop reports?

Making Power BI reports fast and responsive is important. Users can use data types, limit visuals, and query folding in Power Query. Tools like Performance Analyzer help find and fix performance issues.

Source Links

1. Pro Power Bi Desktop: Self-Service Analytics and Data Visualization for the Power User (Paperback) – https://www.prairielights.com/book/9781484257623
2. Get started with Power BI Desktop – Power BI – https://learn.microsoft.com/en-us/power-bi/fundamentals/desktop-getting-started
3. What is Power BI Desktop? – Power BI – https://learn.microsoft.com/en-us/power-bi/fundamentals/desktop-what-is-desktop
4. 1 Introduction to Power BI | Introduction to Power BI – https://monashdatafluency.github.io/Power_BI/introduction-to-power-bi.html
5. Data sources in Power BI Desktop – Power BI – https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-data-sources
6. Guide to Power BI Data Sources: List + How to Connect | Coupler.io Blog – https://blog.coupler.io/power-bi-data-sources/
7. Quickstart: Connect to data in Power BI Desktop – Power BI – https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-quickstart-connect-to-data
8. Power BI Data Preparation in 5 steps – https://www.keboola.com/blog/power-bi-data-preparation
9. Preparing Data in Microsoft Power BI – https://medium.com/microsoft-power-bi/preparing-data-in-microsoft-power-bi-78e91bcf66ee
10. Introducing: Power BI data prep with dataflows – https://powerbi.microsoft.com/en-us/blog/introducing-power-bi-data-prep-wtih-dataflows/
11. Power BI – Data Modeling – https://www.tutorialspoint.com/power_bi/power_bi_data_modeling.htm
12. Data Modeling in Power BI | Steps to Create Data Models – https://k21academy.com/microsoft-azure/data-analyst/data-modeling-in-power-bi/
13. What is Data Modeling? | Microsoft Power BI – https://powerbi.microsoft.com/en-us/what-is-data-modeling/
14. Visualization types in Power BI – Power BI – https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-types-for-reports-and-q-and-a
15. Data visualization with Power BI – https://blog.bismart.com/en/data-visualization-with-power-bi
16. Ways to Generate Powerful & Interactive Reports in Power BI – https://www.dynamicssquare.com/blog/how-to-generate-interactive-reports-in-power-bi/
17. How To Create Interactive Reports in Power BI – DZone – https://dzone.com/articles/step-by-step-tutorial-how-to-create-interactive-re
18. Creating Interactive Dashboards in Power BI: Tips and Best Practices – https://www.linkedin.com/pulse/creating-interactive-dashboards-power-bi-tips-best-practices-2f
19. Learn DAX basics in Power BI Desktop – Power BI – https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-quickstart-learn-dax-basics
20. Mastering DAX Video Course – SQLBI – https://www.sqlbi.com/p/mastering-dax-video-course/
21. Mastering DAX And Data Models In Power BI Desktop – https://www.tutorialspoint.com/mastering-dax-and-data-models-in-power-bi-desktop/index.asp
22. Publish from Power BI Desktop – Power BI – https://learn.microsoft.com/en-us/power-bi/create-reports/desktop-upload-desktop-files
23. Share Power BI reports and dashboards with coworkers and others – Power BI – https://learn.microsoft.com/en-us/power-bi/collaborate-share/service-share-dashboards
24. How to publish and share your Power BI reports effectively – https://help.it.ox.ac.uk/how-to-publish-and-share-your-power-bi-reports-effectively
25. Power BI in YOUR Pocket – GET YOURS TODAY! | Power BI Wiki – https://powerbiwiki.com/power-bi-in-your-pocket-get-yours-today/
26. Power BI On-the-Go: A Review of the Mobile Experience – https://www.alphabold.com/power-bi-on-the-go-a-review-of-the-mobile-experience/
27. Power BI Mobile: On the Go Analytics: Power BI Desktop Install and Mobile Accessibility – FasterCapital – https://www.fastercapital.com/content/Power-BI-Mobile–On-the-Go-Analytics–Power-BI-Desktop-Install-and-Mobile-Accessibility.html
28. Row-level security (RLS) with Power BI – Microsoft Fabric – https://learn.microsoft.com/en-us/fabric/security/service-admin-row-level-security
29. Row-level security (RLS) in Power BI Report Server – Power BI – https://learn.microsoft.com/en-us/power-bi/report-server/row-level-security-report-server
30. Row Level Security in Power BI Desktop – https://radacad.com/row-level-security-configuration-in-power-bi-desktop
31. 5 Advanced Power BI Features For Your Business – https://www.beyondintranet.com/blog/power-bi-features/
32. Microsoft Power BI: Top 12 Features & Key Components – https://payodatechnologyinc.medium.com/microsoft-power-bi-top-12-features-key-components-cf41e3f64611
33. Advanced Features in DAX in Power BI – Scaler Topics – https://www.scaler.com/topics/power-bi/advanced-dax-for-microsoft-power-bi-desktop/
34. Power BI Desktop vs. Power BI Service: Understanding the Differences – https://www.linkedin.com/pulse/power-bi-desktop-vs-service-understanding-differences-bhakti-shete
35. Top 10 Pros & Cons of Power BI – BI connector Blog – https://www.biconnector.com/blog/top-10-pros-cons-of-power-bi/
36. Microsoft Fabric adoption roadmap conclusion – Power BI – https://learn.microsoft.com/en-us/power-bi/guidance/fabric-adoption-roadmap-conclusion