Hi, I'm Tom Blessing. I'm an expert at helping small to mid-sized companies adopt Power BI. I'm also a recovering investment banker, with deep experience applying technology to otherwise manual data problems. I have dual degrees in Finance and Technology Management from Indiana University.

Resources to help build your fundamentals: Learning Power BI? Data fundamentals are critical for this process to be easier. I've assembled a few DataCamp courses to help. I earn a small commission if you click and purchase.

Introduction to Power BI course: Master Power BI basics and learn to build impactful reports.

Exploratory Data Analysis in Power BI course: Learn about Power BI's Exploratory Data Analysis (EDA) and enhance your reports.

Introduction to SQL course: Learn how to create and query relational databases using SQL in just two hours.

Introduction to DAX course: Learn the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Database Design course: Learn to design databases in SQL to process, store, and organize data in a more efficient way.

Short answer: YES!! Let's really get into how you can manage multiple data sources in Power BI. 

The Vast Array of Connectors:
Power BI doesn’t just play well with others.

It practically thrives on data diversity.

With connectors for common sources like Excel, SQL Server, and SharePoint, it also integrates with cloud-based storages like Azure, various online services like Google Analytics, and even lesser-known databases.

You name it, Power BI probably has a connector for it.

Making the Connection:
Within Power BI Desktop, it's a cinch to add multiple data sources.

Just head over to 'Home', click on 'Get Data', and you’re off!

Each data source you add will be available for you to model, transform, and visualize. 

The Power Query Editor – Your Data Sculptor:
When you bring in multiple data sources, they might not always be in the shape or format you need. Enter the Power Query Editor. This tool allows you to cleanse, reshape, and enrich your data. Want to merge data from an Excel sheet with a SQL database? Power Query can make that handshake smooth. Head over to the 'Transform Data' button on the ribbon to enter Power Query.

Relationships Matter:
One of Power BI’s core strengths is its Model view.

Once you have multiple tables from different sources, you can establish relationships between them—think primary and foreign keys in databases.

This ensures that when you drag and drop fields in your report view, Power BI knows exactly how to fetch related data.

Performance Considerations:
Yes, Power BI can handle multiple sources, but keep performance in mind.

The more data sources you introduce, especially massive ones, the heavier the lifting.

It's vital to keep tabs on the data model's size, the complexity of measures, and relationships to ensure efficient performance.

Direct Query vs. Import:
When you're connecting to your data, Power BI offers two main methods: Direct Query and Import.

Import pulls the data into Power BI, while Direct Query leaves the data source but lets Power BI query it directly.

The method you choose can impact performance and data freshness, so choose based on your needs.

Security Implications:
Combining data from multiple sources might introduce security concerns.

Always ensure you have the necessary permissions for each data source, and be aware of how sharing reports might expose sensitive data.

To Wrap Up:

One of Power BI's top strengths is its ability to handle multiple data sources. Combining data from your organization into a single view totally transforms your ability to figure out what it means. Onward!