Knight / Ostrowsky / Pearson Microsoft Power BI Quick Start Guide

The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more
3. Auflage 2022
ISBN: 978-1-80461-266-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 338 Seiten

Updated 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.

Autoren/Hrsg.

Knight, Devin

Ostrowsky, Erin

Pearson, Mitchell

Schacht, Bradley

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Microsoft Programmierung

Inhaltsverzeichnis

Table of Contents - Gaining Data Literacy with Power BI
- Connecting to Data
- Data Transformation Strategies
- Building the Data Model
- Leveraging DAX
- Visualizing Data
- Digital Storytelling with Power BI
- Using a Cloud Deployment with the Power BI Service
- Data Cleansing in the Cloud with Dataflows
- On-Premises Solutions with Power BI Report Server

Leseproben

Contents

1. Preface
   1. Who this book is for
   2. What this book covers
   3. To get the most out of this book
   4. Get in touch
   5. Making the Most Out of This Book – Get to Know Your Free Benefits
2. Gaining Data Literacy with Power BI
   1. The challenge facing organizations with low data literacy
   2. Overcoming low data literacy with a data strategy
   3. Why choose Power BI
   4. Migrating your Excel skills to Power BI
   5. Summary
3. Connecting to Data
   1. Getting started
   2. Importing data
      1. Excel as a source
      2. SQL Server as a source
      3. Dataverse as a source
      4. Web as a source
   3. DirectQuery
      1. Limitations
   4. Composite models
   5. Live connection
      1. Limitations
   6. Choosing a data connection method
   7. Summary
4. Data Transformation Strategies
   1. The Power Query Editor
   2. Transformation basics
      1. Use First Row as Headers
      2. Remove Columns
      3. Change Type
      4. Add Column From Examples
   3. Advanced data transformation options
      1. Add Conditional Columns
      2. Fill Down
      3. Unpivot
      4. Merge Queries
      5. Append Query
   4. The R programming language
      1. Installation and configuration
      2. The R script transform
   5. AI Insights
      1. Sentiment Analysis with Text Analytics
   6. The M formula language
      1. Exploring the M Query library with #shared
   7. Summary
5. Building the Data Model
   1. Organizing data with a star schema
   2. Building relationships
      1. Editing relationships
      2. Creating a new relationship
         1. Creating a relationship on the date key
         2. Disabling automatically created date tables
   3. Working with complex relationships
      1. Many-to-many relationships
         1. Filtering behavior
         2. Cross-filtering direction
         3. Enabling filtering from the many side of a relationship
      2. Role-playing tables
         1. Importing the date table
   4. Usability enhancements
      1. Hiding tables and columns
      2. Renaming tables and columns
      3. Default summarization
      4. How to display one column but sort by another
      5. Data categorization
      6. Creating hierarchies
   5. Improving data model performance
      1. Query performance
         1. Data model design methodologies
         2. Importing data
         3. DirectQuery
         4. Aggregations
      2. Processing performance
         1. Query folding
         2. Incremental refresh
         3. Best practices
   6. Summary
6. Leveraging DAX
   1. Building calculated columns
      1. Creating calculated columns with string functions
      2. Using the FORMAT function in DAX
      3. Implementing conditional logic with IF()
      4. Implementing conditional logic with SWITCH()
      5. Leveraging existing relationships with navigation functions
   2. Creating calculated measures
      1. Creating basic calculated measures
         1. Total Sales
         2. Total Cost
         3. Profit
         4. Profit Margin
      2. Optional parameters
      3. Assignment of calculated measures
      4. Display folders
   3. Understanding filter context
      1. Using CALCULATE() to modify filter context
      2. Calculating the percentage of total
   4. Working with time intelligence functions
      1. Creating year-to-date calculations
      2. Creating prior year calculations with CALCULATE()
   5. Role-playing tables with DAX
   6. Summary
7. Visualizing Data
   1. Report view basics
   2. Creating new visuals
   3. Filtering visualizations and data
      1. Cross-filtering and cross-highlighting
      2. Edit interactions
      3. Slicer
         1. String/text
         2. Numeric
         3. Date
      4. Report filters
   4. Visualizing tabular data
      1. Table
      2. Matrix
   5. Visualizing categorical data
      1. Bar and column charts
      2. Pie and donut charts
      3. Treemap
      4. Scatter chart
   6. Visualizing trend data
      1. Line and area charts
      2. Combo charts
      3. Ribbon chart
      4. Waterfall chart
      5. Funnel chart
   7. Visualizing KPI data
      1. Gauge
      2. KPI
   8. Visualizing data using cards
      1. Card
      2. Multi-row card
   9. Visualizing geographical data
      1. Map
      2. Filled map
      3. Shape map
      4. ArcGIS Map
      5. Azure maps
   10. Advanced visualizations
       1. Natural language with Q&A
       2. Visuals from analytics
       3. Power BI custom visuals
   11. Data visualization tips and tricks
       1. Changing visuals
       2. Formatting visuals
       3. The Analytics section
       4. The Top N filter
       5. Show value as
   12. Summary
8. Digital Storytelling with Power BI
   1. Configuring drill through
   2. Capturing report views with bookmarks
   3. Combining object visibility with bookmarks
      1. Bookmarking alternate views of the same data...

Über Autor(innen)

Knight Devin:

Devin Knight a Microsoft Data Platform MVP and the President at Pragmatic Works Training. At Pragmatic Works, Devin determines which courses are created, delivered, and updated for customers, including 15+ Power BI courses. This is the tenth SQL Server and Business Intelligence book that he has authored. Devin often speaks at conferences such as PASS Summit, PASS Business Analytics Conference, SQL Saturdays, and Code Camps. He is also a contributing member to several PASS Virtual Chapters. Making his home in Jacksonville, FL, Devin is a contributor at the local Power BI User Group.Ostrowsky Erin:

Erin Ostrowsky is a creative and passionate lifelong learner. She began her career as a business journalist and researcher and found herself drawn to the power of beautifully visualized data analysis. After living overseas, Erin returned to the USA looking to marry her communication background with a technical focus and found a life changing opportunity to work as a trainer for Pragmatic Works where she focused on creating new educational materials and delivering Power BI training around the country. Erin focuses on the Power Platform tools and loves working on teams to build business intelligence solutions that businesses use and enjoy.Pearson Mitchell:

Mitchell Pearson has worked as a Data Platform Consultant and Trainer for the last 8 years. Mitchell has authored books on SQL Server, Power BI and the Power Platform. Data Platform experience includes designing and implementing enterprise level Business Intelligence solutions with the Microsoft SQL Server stack (T-SQL, SSIS, SSAS, SSRS), the Power Platform and Microsoft Azure. Mitchell is very active in the community: Running the local Power BI User Group, presenting at user groups locally and virtually, and creating YouTube videos for MitchellSQLSchacht Bradley:

Bradley Schacht is a principal program manager on the Microsoft Fabric product team based in Saint Augustine, Florida. Bradley is a former consultant and trainer and has co-authored five books on SQL Server and Power BI. As a member of the Microsoft Fabric product team, Bradley works directly with customers to solve some of their most complex data problems and helps shape the future of Microsoft Fabric. Bradley gives back to the community by speaking at events, such as the PASS Summit, SQL Saturday, Code Camp, and user groups across the country, including locally at the Jacksonville SQL Server User Group (JSSUG). He is a contributor on SQLServerCentral and blogs on his personal site, BradleySchacht.