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Microsoft Power BI Quick Start Guide: The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more
Bring your data to life with this accessible yet fast-paced introduction to Power BI, now in color.
Purchase of the print or Kindle book includes a free eBook in PDF format.
Key FeaturesLearn faster with practical examples of the latest features of Power BI, including navigator buttons, column-level security, visualizing goals, and moreMigrate your existing Excel and data analysis skills to Power BIBuild accurate analytical models, reports, and dashboards, now in colorBook DescriptionUpdated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You'll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI.
Throughout this book, you'll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You'll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there's an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling.
As you progress, you'll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You'll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented.
By the end of this Power BI book, you'll know how to get the most out of Power BI for better business intelligence.
What you will learnConnect to data sources using import, DirectQuery, and live connection optionsUse Power Query Editor for data transformation and data cleansing processes, and write M and R scripts and dataflows to do the same in the cloudDesign effective reports with built-in and custom visuals to optimize user experienceImplement row-level and column-level security in your dashboardsAdminister a Power BI cloud tenant for your organizationUse built-in AI capabilities to enhance Power BI data transformation techniquesDeploy your Power BI Desktop files into Power BI Report ServerWho this book is forThis book is for aspiring business intelligence and data professionals with a basic understanding of BI concepts, who want to learn Power BI quickly. Complete beginners with no BI background can also get plenty of useful information from this book.
Table of ContentsGaining Data Literacy with Power BIConnecting to DataData Transformation StrategiesBuilding the Data ModelLeveraging DAXVisualizing DataDigital Storytelling with Power BIUsing a Cloud Deployment with the Power BI ServiceData Cleansing in the Cloud with DataflowsOn-Premises Solutions with Power BI Report Server
Purchase of the print or Kindle book includes a free eBook in PDF format.
Key FeaturesLearn faster with practical examples of the latest features of Power BI, including navigator buttons, column-level security, visualizing goals, and moreMigrate your existing Excel and data analysis skills to Power BIBuild accurate analytical models, reports, and dashboards, now in colorBook DescriptionUpdated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You'll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI.
Throughout this book, you'll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You'll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there's an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling.
As you progress, you'll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You'll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented.
By the end of this Power BI book, you'll know how to get the most out of Power BI for better business intelligence.
What you will learnConnect to data sources using import, DirectQuery, and live connection optionsUse Power Query Editor for data transformation and data cleansing processes, and write M and R scripts and dataflows to do the same in the cloudDesign effective reports with built-in and custom visuals to optimize user experienceImplement row-level and column-level security in your dashboardsAdminister a Power BI cloud tenant for your organizationUse built-in AI capabilities to enhance Power BI data transformation techniquesDeploy your Power BI Desktop files into Power BI Report ServerWho this book is forThis book is for aspiring business intelligence and data professionals with a basic understanding of BI concepts, who want to learn Power BI quickly. Complete beginners with no BI background can also get plenty of useful information from this book.
Table of ContentsGaining Data Literacy with Power BIConnecting to DataData Transformation StrategiesBuilding the Data ModelLeveraging DAXVisualizing DataDigital Storytelling with Power BIUsing a Cloud Deployment with the Power BI ServiceData Cleansing in the Cloud with DataflowsOn-Premises Solutions with Power BI Report Server
330 pages, Kindle Edition
Published November 25, 2022
29 people are currently reading
12 people want to read
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Displaying 1 of 1 review
February 18, 2024
📕 Why (Not) to read this book (Target Audience)
A good introduction into Power Bi.
👀 How this book changed my daily live (Takeaways)
A flat or completely denormalized model is where the entire data model is a single table with no supporting tables. Therefore, all your measurable items and all the descriptive attributes are in the same table. This model is very common and is a result of a lot of Excel users importing data directly into Power BI from their Excel worksheets. This method is highly inefficient and has several drawbacks:
• A flat model does not scale well; as the number of records in the table increases, the data model will consume significantly more resources due to the repetitiveness of data and the number of columns.
• A flat model is not flexible and does not hold up well to future changes.
• A flat model is not intelligent, simply meaning it’s not easily understandable.
• Time series analysis calculations like Year to Date and Year over Year are much more difficult to author.
⁉ Spoiler Alerts (Highlights)
In a one-to-many relationship, a relationship can be created directly between the two tables. However, in a many-to-many relationship, an indirect relationship is often created through a bridge table. This section will focus on how to set up a many-to-many relationship and how to gain analytical value from such relationships!
A good introduction into Power Bi.
👀 How this book changed my daily live (Takeaways)
A flat or completely denormalized model is where the entire data model is a single table with no supporting tables. Therefore, all your measurable items and all the descriptive attributes are in the same table. This model is very common and is a result of a lot of Excel users importing data directly into Power BI from their Excel worksheets. This method is highly inefficient and has several drawbacks:
• A flat model does not scale well; as the number of records in the table increases, the data model will consume significantly more resources due to the repetitiveness of data and the number of columns.
• A flat model is not flexible and does not hold up well to future changes.
• A flat model is not intelligent, simply meaning it’s not easily understandable.
• Time series analysis calculations like Year to Date and Year over Year are much more difficult to author.
⁉ Spoiler Alerts (Highlights)
In a one-to-many relationship, a relationship can be created directly between the two tables. However, in a many-to-many relationship, an indirect relationship is often created through a bridge table. This section will focus on how to set up a many-to-many relationship and how to gain analytical value from such relationships!
Displaying 1 of 1 review