Free ebook on importing, cleaning, combining, and modeling data in Power BI with Power Query, relationships, and basic DAX.
Free ebook content
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Power BI Essentials: Understanding the Workflow and Interface
+ Exercise: When a report visual shows an unexpected total, what is the most likely place to investigate first?
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Power BI Essentials: Connecting to Common Data Sources
+ Exercise: You receive daily CSV exports with the same column structure and want Power BI to automatically append new files when you refresh. Which connector choice best supports this scalable ingestion approach?
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Power BI Essentials: Power Query Fundamentals and Query Organization
+ Exercise: In Power Query, what is the best approach when you want multiple final tables to share the same cleanup rules from a single staging query?
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Power BI Essentials: Data Types, Locale, and Quality Checks in Power Query
+ Exercise: When converting a Text column that contains dates or numbers in a regional format, what is the most reliable way to avoid silent misinterpretation in Power Query?
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Power BI Essentials: Combining Data with Merge and Append
+ Exercise: You need to create one consolidated Sales table from separate monthly Sales queries that share the same columns, and then add Customer attributes like CustomerName. Which sequence best follows a reliable Power Query workflow?
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Power BI Essentials: Designing a Maintainable Data Model
+ Exercise: When designing a maintainable Power BI star schema, which relationship setup best supports predictable filter flow and avoids ambiguity?
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Power BI Essentials: Relationships, Cardinality, and Filter Direction
+ Exercise: You built a star-schema model and notice that selecting a slicer field from a fact-like table unexpectedly reduces the available values in a dimension slicer. Which relationship setting is the most likely cause?
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Power BI Essentials: Basic DAX Concepts for a Reliable Model
+ Exercise: In a Power BI model, when should you use a measure instead of a calculated column?
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Power BI Essentials: Model Scalability, Performance Basics, and Maintainability
+ Exercise: Which approach best improves scalability and maintainability when preparing data in Power BI?
About the free ebook
Power BI Essentials: Data Import, Cleaning, and Modeling with Confidence
Build a dependable foundation for business intelligence with this free ebook on Power BI data preparation and modeling. Learn how to move from raw files and connected sources to a structured model that supports accurate reporting.
Turn raw data into trusted insights
Explore the Power BI workflow and interface, then connect to common data sources with purpose. You will use Power Query to organize queries, set appropriate data types, account for locale differences, and perform practical data-quality checks before loading data into a model.
Combine and shape data effectively
Understand when to use Merge to match related tables and Append to stack compatible datasets. The ebook emphasizes clean query design so transformations are easier to review, refresh, and maintain.
Design models that remain reliable
Learn the principles of maintainable data modeling, including relationships, cardinality, and filter direction. You will also encounter essential DAX concepts that help produce clear, consistent calculations without weakening model design.
Prepare for scale
Discover practical performance and scalability considerations for Power BI models. By focusing on thoughtful structure, efficient transformations, and reliable relationships, you can create reports that are easier to update and more trustworthy for decision-making.
- Connect to files and common data sources
- Clean, validate, and organize data in Power Query
- Merge and append datasets correctly
- Create sound relationships and basic DAX calculations
- Improve model maintainability and performance
What is the difference between Merge and Append in Power BI?
Merge joins tables using matching columns, while Append adds rows from one compatible table to another.
Why are data types and locale settings important in Power Query?
They ensure dates, numbers, and text are interpreted correctly and prevent refresh or calculation errors.
How does filter direction affect Power BI relationships?
Filter direction controls how filters travel between tables and can affect report results, performance, and ambiguity.
This ebook includes:
9 content chapters
Digital certificate of course completion (Free)
Exercises to train your knowledge
100% free, from content to certificate
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