Microsoft Power BI Cookbook: Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases, 2nd Edition
- Length: 712 pages
- Edition: 2
- Language: English
- Publisher: Packt Publishing
- Publication Date: 2021-10-11
- ISBN-10: 1801813043
- ISBN-13: 9781801813044
- Sales Rank: #314422 (See Top 100 Books)
Build effective analytical data models, reports, and dashboards using the advanced features of Power BI
Key Features
- Updated with new recipes on query optimization, aggregation tables, Power BI API, and paginated reports
- Work with recipes across diverse Power BI platforms including the Power BI Service and Mobile Applications
- Implement custom solutions with M and DAX languages through actionable guidance and proven development techniques
Book Description
Microsoft Power BI is a leading business intelligence and data analytics platform that provides tools and services for deriving insights from data. With revised practical recipes, Microsoft Power BI Cookbook, Second Edition helps you navigate Power BI tools and their advanced features. It also demonstrates the use of end-to-end solutions that integrate those features to get the most out of Power BI. This cookbook provides advanced design and development tips, and guidance on enhancing existing Power BI projects.
The updated edition enables you to implement evergreen frameworks that will stay relevant as Power BI updates. Get familiar with Power BI development tools and services by going deep into the data connectivity, transformation, modeling, visualization, and analytical capabilities of Power BI. Microsoft Power BI Cookbook, Second Edition enables Power BI’s functional programming languages of DAX and M to come alive to deliver powerful solutions to common business intelligence challenges.
What you will learn
- Cleanse, stage, and integrate your data sources with Power Query (M)
- Remove data complexities and provide users with intuitive, self-service BI capabilities
- Build business logic and analysis into your solutions via the DAX programming language and dashboard-ready calculations
- Implement aggregation tables to accelerate query performance over large data sources
- Create and integrate paginated reports
- Understand the differences and implications of DirectQuery, Live Connections, Import, and Composite model datasets
- Integrate other Microsoft data tools into your Power BI solution
Who This Book Is For
This book is for BI professionals who wish to enhance their knowledge of Power BI and the value of the Power BI solutions they deliver to business users. Those who are looking at quick solutions to common problems while using Power BI will also find this book to be an extremely useful resource. Familiarity with Power BI and working with datasets is essential. This book is not for beginners.
Table of Contents
- Configuring Power BI Tools
- Accessing and Retrieving Data
- Building a Power BI Data Model
- Authoring Power BI Reports
- Working in the Service
- Getting Serious with Date Intelligence
- Parameterizing Power BI Solutions
- Implementing Dynamic User-Based Visibility in Power BI
- Applying Advanced Analytics and Custom Visuals
- Administering and Monitoring Power BI
- Enhancing and Optimizing Existing Power BI Solutions
- Deploying and Distributing Power BI Content
- Integrating Power BI with Other Applications
Preface Who this book is for What this book covers To get the most out of this book Get in touch Configuring Power BI Tools Technical Requirements Installing and Configuring Power BI Desktop Creating an On-Premises Data Gateway Installing Analyze in Excel from the Power BI Service Installing and Configuring Additional Tools Conclusion Accessing and Retrieving Data Technical Requirements Viewing and Analyzing M Functions Managing Queries and Data Sources Using DirectQuery Importing Data Applying Multiple Filters Selecting and Renaming Columns Transforming and Cleansing Data Creating Custom Columns Combining and Merging Queries Selecting Column Data Types Visualizing the M library Profiling Source Data Conclusion Building a Power BI Data Model Technical Requirements Designing a Data Model Implementing a Data Model Creating Relationships Configuring Model Metadata Hiding Columns and Tables Enriching a Model with DAX Supporting Virtual Table Relationships Creating Hierarchies and Groups Designing Column Level Security Leveraging Aggregation Tables Conclusion Authoring Power BI Reports Technical Requirements Building Rich and Intuitive Reports Filtering at Different Scopes Integrating Card visualizations Using Slicers Controlling Visual Interactions Utilizing Graphical Visualizations Creating Table and Matrix visuals Enhancing Reports Formatting Reports for Publication Designing Mobile Layouts Creating Paginated Reports Conclusion Working in the Service Technical Requirements Building a Dashboard Preparing for QA Adding Alerts and Subscriptions Deploying Content from Excel and SSRS Streaming Datasets Authoring Dataflows Conclusion Getting Serious with Date Intelligence Technical Requirements Building a Date Dimension Table Preparing the Date Dimension via the Query Editor Authoring Date Intelligence Measures Developing Advanced Date Intelligence Measures Simplifying Date Intelligence with DAX and Calculated Tables Leveraging Calculation Groups Conclusion Parameterizing Power BI Solutions Technical requirements Filtering reports dynamically Leveraging query parameters Working with templates Converting static queries to dynamic functions Capturing user selections with parameter tables Forecasting with what-if analysis Conclusion Implementing Dynamic User-Based Visibility in Power BI Technical Requirements Capturing Current User Context Defining RLS Roles and Filter Expressions Designing Dynamic Security Models Building Dynamic Security for DirectQuery Displaying the Current Filter Context Avoiding Manual User Clicks Conclusion Applying Advanced Analytics and Custom Visuals Technical Requirements Incorporating Advanced Analytics Enriching Content with Custom Visuals and Quick Insights Creating Geospatial Mapping with ArcGIS Maps Democratizing Artificial Intelligence Building Animation and Storytelling Embedding Statistical Analyses Grouping and Binning Detecting and Analyzing Clusters Forecasting and Anomaly Detection Using R and Python Visuals Conclusion Administering and Monitoring Power BI Technical requirements Creating a centralized IT monitoring solution with Power BI Constructing a monitoring, visualization, and analysis layer Importing and visualizing dynamic management view (DMV) data Increasing DBA productivity Providing documentation Analyzing SSAS tabular databases and gateways Analyzing Extended Events Visualizing log file data Leveraging the Power BI PowerShell Module Conclusion Enhancing and Optimizing Existing Power BI Solutions Technical Requirements Enhancing Data Model Scalability and Usability Improving DAX Measure Performance Pushing Query Processing Back to Source Systems Strengthening Data Import and Integration Processes Isolating and Documenting DAX Expressions Improving Data Load Speeds with Incremental Refresh Conclusion Deploying and Distributing Power BI Content Technical Requirements Preparing for Content Creation and Collaboration Managing Content between Environments Sharing Content with Colleagues Configuring Workspaces Configuring On-Premises Gateway Data Connections Publishing Apps Publishing Reports to the Public Internet Enabling the Mobile Experience Distributing Content with Teams Conclusion Integrating Power BI with Other Applications Technical Requirements Integrating SSRS and Excel Migrating from Power Pivot for Excel Data to Power BI Accessing and Analyzing Power BI Datasets in Excel Building Power BI Reports into PowerPoint Presentations Connecting to Azure Analysis Services Integrating with Power Automate and Power Apps Leveraging Dataverse and Dynamics 365 Connecting Dynamics 365 Finance and Operations and the Power Platform Conclusion Other Book You May Enjoy Index
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