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- Expert Data Modeling with Power BI. Enrich and optimize your data models to get the best out of Power BI for reporting and business needs - Second Edition
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Expert Data Modeling with Power BI. Enrich and optimize your data models to get the best out of Power BI for reporting and business needs - Second Edition
Soheil Bakhshi, Christian Wade
Ebook
This book is a comprehensive guide to understanding the ins and outs of data modeling and how to create full-fledged data models using Power BI confidently.
In this new, fully updated edition, you'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. As you advance through the chapters, the book will demonstrate how to prepare efficient data models in the Power Query Editor and use simpler DAX code with new data modeling features. You'll explore how to use the various data modeling and navigation techniques and perform custom calculations using the modeling features with the help of real-world examples. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. Additionally, you'll learn valuable best practices and explore common data modeling complications and the solutions to supercharge the process of creating a data model in Power BI and build better-performing data models.
By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support high-performing reports and data analytics.
In this new, fully updated edition, you'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. As you advance through the chapters, the book will demonstrate how to prepare efficient data models in the Power Query Editor and use simpler DAX code with new data modeling features. You'll explore how to use the various data modeling and navigation techniques and perform custom calculations using the modeling features with the help of real-world examples. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. Additionally, you'll learn valuable best practices and explore common data modeling complications and the solutions to supercharge the process of creating a data model in Power BI and build better-performing data models.
By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support high-performing reports and data analytics.
- 1. Introduction to Data Modeling in Power BI
- 2. Data Analysis eXpressions and Data Modeling
- 3. Data Preparation in Power Query Editor
- 4. Getting Data from Various Sources
- 5. Common Data Preparation Steps
- 6. Star Schema Preparation In Power Query Editor
- 7. Data Preparation Common Best Practices
- 8. Data Modeling Components
- 9. Star Schema and Data Modeling Common Best Practices
- 10. Advanced Data Modeling Techniques
- 11. Row-Level and Object-Level Security
- 12. Dealing with More Advanced Data Warehousing Concepts in Power BI
- 13. Introduction to Dataflows
- 14. DirectQuery Connections to Power BI Datasets and Analysis Services in Composite Models
- 15. New Options, Features, and DAX Functions
- Title: Expert Data Modeling with Power BI. Enrich and optimize your data models to get the best out of Power BI for reporting and business needs - Second Edition
- Author: Soheil Bakhshi, Christian Wade
- Original title: Expert Data Modeling with Power BI. Enrich and optimize your data models to get the best out of Power BI for reporting and business needs - Second Edition
- ISBN: 9781803245393, 9781803245393
- Date of issue: 2023-04-28
- Format: Ebook
- Item ID: e_3d3z
- Publisher: Packt Publishing