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Expert Data Modeling with Power BI: Get the best out of Power BI by building optimized data models for reporting and business needs
Manage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BI
Key FeaturesUnderstand data modeling techniques to get the best out of data using Power BIDefine the relationships between data to extract valuable insightsSolve a wide variety of business challenges by building optimal data modelsBook DescriptionThis book is a comprehensive guide to understanding the ins and outs of data modeling and how to create data models using Power BI confidently.
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.
In this book, you'll explore how to use data modeling and navigation techniques to define relationships and create a data model before defining new metrics and performing custom calculations using modeling features. As you advance through the chapters, the book will demonstrate how to create full-fledged data models, enabling you to create efficient data models and simpler DAX code with new data modeling features. With the help of examples, you'll discover how you can solve business challenges by building optimal data models and changing your existing data models to meet evolving business requirements. 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.
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 reporting and data analytics.
What you will learnImplement virtual tables and time intelligence functionalities in DAX to build a powerful modelIdentify Dimension and Fact tables and implement them in Power Query EditorDeal with advanced data preparation scenarios while building Star SchemaExplore best practices for data preparation and modelingDiscover different hierarchies and their common pitfallsUnderstand complex data models and how to decrease the level of model complexity with different approachesLearn advanced data modeling techniques such as aggregations, incremental refresh, and RLS/OLSWho this book is forThis MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. You’ll need a solid grasp on basic use cases and functionalities of Power BI and Star Schema functionality before you can dive in.
Table of ContentsIntroduction to data modelling in Power BI Data Analysis eXpressions and Data ModelingData Preparation in Power Query EditorGetting data from various sources Common data preparation steps Star Schema preparation in Power Query Editor Data preparation common best practices Data Modeling ComponentsStar Shema and Data Modeling Common Best PracticesAdvanced Data Modeling TechniquesRow Level SecurityExtra Options and Features Available for Data Modeling
Key FeaturesUnderstand data modeling techniques to get the best out of data using Power BIDefine the relationships between data to extract valuable insightsSolve a wide variety of business challenges by building optimal data modelsBook DescriptionThis book is a comprehensive guide to understanding the ins and outs of data modeling and how to create data models using Power BI confidently.
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.
In this book, you'll explore how to use data modeling and navigation techniques to define relationships and create a data model before defining new metrics and performing custom calculations using modeling features. As you advance through the chapters, the book will demonstrate how to create full-fledged data models, enabling you to create efficient data models and simpler DAX code with new data modeling features. With the help of examples, you'll discover how you can solve business challenges by building optimal data models and changing your existing data models to meet evolving business requirements. 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.
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 reporting and data analytics.
What you will learnImplement virtual tables and time intelligence functionalities in DAX to build a powerful modelIdentify Dimension and Fact tables and implement them in Power Query EditorDeal with advanced data preparation scenarios while building Star SchemaExplore best practices for data preparation and modelingDiscover different hierarchies and their common pitfallsUnderstand complex data models and how to decrease the level of model complexity with different approachesLearn advanced data modeling techniques such as aggregations, incremental refresh, and RLS/OLSWho this book is forThis MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. You’ll need a solid grasp on basic use cases and functionalities of Power BI and Star Schema functionality before you can dive in.
Table of ContentsIntroduction to data modelling in Power BI Data Analysis eXpressions and Data ModelingData Preparation in Power Query EditorGetting data from various sources Common data preparation steps Star Schema preparation in Power Query Editor Data preparation common best practices Data Modeling ComponentsStar Shema and Data Modeling Common Best PracticesAdvanced Data Modeling TechniquesRow Level SecurityExtra Options and Features Available for Data Modeling
612 pages, Kindle Edition
Published June 11, 2021
19 people are currently reading
32 people want to read
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Displaying 1 - 2 of 2 reviews
March 24, 2024
📕 Why (Not) to read this book (Target Audience)
Great book that takes you deeper in Data Modeling in Power Bi
👀 How this book changed my daily live (Takeaways)
The idea of the star schema is to keep all numeric values in separate tables called fact tables and put all descriptive information into other tables called dimension tables. Usually, the fact tables are surrounded by dimensions explaining the facts. A data model with a fact table in the middle surrounded by dimensions looks like a star, which is why this modeling approach is called a star schema.
⁉ Spoiler Alerts (Highlights)
Filtering the data and hiding the objects based on the users’ usernames and the role(s) assigned to them by writing simple Data Analysis Expressions (DAX) or, in more complex scenarios, by making changes in the data model.
When we publish the report file to the Power BI Service, it constructs the PBIX file into two separate objects: a dataset and a report. The dataset encapsulates the Power Query and the data model layers, and the report contains the data visualization. It is important to note that either RLS or OLS kicks in only at the report level and only if:
• The user has the Viewer role in the Workspace.
• The report is shared with the user via a link, direct access, or an app.
Security rules are the DAX expressions ruling the data that a role can see. A DAX expression defining a rule returns a value of true or false.
Great book that takes you deeper in Data Modeling in Power Bi
👀 How this book changed my daily live (Takeaways)
The idea of the star schema is to keep all numeric values in separate tables called fact tables and put all descriptive information into other tables called dimension tables. Usually, the fact tables are surrounded by dimensions explaining the facts. A data model with a fact table in the middle surrounded by dimensions looks like a star, which is why this modeling approach is called a star schema.
⁉ Spoiler Alerts (Highlights)
Filtering the data and hiding the objects based on the users’ usernames and the role(s) assigned to them by writing simple Data Analysis Expressions (DAX) or, in more complex scenarios, by making changes in the data model.
When we publish the report file to the Power BI Service, it constructs the PBIX file into two separate objects: a dataset and a report. The dataset encapsulates the Power Query and the data model layers, and the report contains the data visualization. It is important to note that either RLS or OLS kicks in only at the report level and only if:
• The user has the Viewer role in the Workspace.
• The report is shared with the user via a link, direct access, or an app.
Security rules are the DAX expressions ruling the data that a role can see. A DAX expression defining a rule returns a value of true or false.
February 18, 2024
Really really good, complements well to The Definitive Guide to DAX.
Displaying 1 - 2 of 2 reviews