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Microsoft Power BI Cookbook : Convert Raw Data into Business Insights with Updated Techniques, Use Cases, and Best Practices / Greg Deckler and Brett Powell.
Author
Deckler, Greg
[Browse]
Format
Book
Language
English
Εdition
Third edition.
Published/Created
Birmingham, England : Packt Publishing, [2024]
©2024
Description
1 online resource (599 pages)
Details
Subject(s)
Business
—
Data processing
[Browse]
Business intelligence
—
Computer programs
[Browse]
Information visualization
—
Computer programs
[Browse]
Author
Powell, Brett
[Browse]
Series
Expert insight.
[More in this series]
Summary note
Now in color, this edition helps you unlock the full potential of Power BI with new recipes and comprehensive techniques on advanced data tools and AI Key Features Dive into Microsoft Data Fabric for deeper insights and robust data strategies Implement Hybrid tables, create comprehensive scorecards, and establish shared cloud connections effortlessly Uncover new and updated data visualization tools that turn complex data into clear, actionable charts and reports Book Description Since its first edition the Power BI Cookbook has been a best-selling resource for BI developers and data analysts to produce impactful, quality BI solutions. This new and updated edition retains the rigorous details and concepts readers of prior editions have enjoyed while also demonstrating powerful new capabilities and updated guidance aligned to the current state of the platform. In this book, with step-by-step instructions, you will learn to navigate the complexities of data integration and visualization in Power BI. From creating robust data models to implementing sophisticated reporting techniques, this Power BI book empowers you to make informed decisions based on actionable insights. It also introduces you to new capabilities such as Hybrid tables and scorecards, enhancing your ability to communicate and analyze business performance. It also expands and improvises on the core of the previous edition like parameterizing Power BI solutions, authoring reports, data intelligence, and integrating advanced analytics. This edition not only updates you on the latest features but also prepares you for future innovations with a preview of upcoming AI enhancements in Power BI. Whether you're refining your skills or aspiring to become an expert, this book is an invaluable resource for leveraging Power BI to its fullest potential What you will learn Analyze and integrate business data using Microsoft Data Fabric Create impactful visualizations and manage Hybrid tables Develop shared cloud connections and advanced scorecards Enhance report accuracy and dynamics using real-time data processing Implement efficient data governance and security measures within Power BI Who this book is for This book is designed for data analysts, business intelligence professionals, and anyone involved in data processing or analytics who seeks to enhance their skills with Power BI's latest features and prepare for future advancements in the field.
Notes
Includes index.
Source of description
Description based on publisher supplied metadata and other sources.
Description based on print version record.
Contents
Cover
Copyright
Contributors
Preface
Chapter 1: Installing and Licensing Power BI Tools
Technical Requirements
Installing and Configuring Power BI Desktop
Getting ready
How to install and configure Power BI Desktop
How it works
There's more…
See also
Installing SQL Server and the AdventureWorks Database
How to install SQL Server
Installing Developer Edition of SQL Server
Installing SQL Server Management Studio
How to install the AdventureWorks database
Installing and Using Power BI Report Builder
How to install Power BI Report Builder
Creating an On-Premises Data Gateway
How to create the gateway
Installing Additional Tools
How to install DAX Studio
Thinking about Licensing
How to license Power BI
Summary
Chapter 2: Accessing, Retrieving, and Transforming Data
Importing Data
How to import data
There's more...
Using DirectQuery
How to use DirectQuery
Creating Dataflows
How to create a dataflow
Applying Filters
How to apply multiple filters
Transforming and Cleansing Data
How to transform and cleanse data
Creating Custom Columns
How to create custom columns
See also.
Combining and Merging Queries
How to combine queries
Profiling Source Data
How to profile source data
Diagnosing Queries
How to diagnose queries
Extending the Core M Library
How to extend the core M library
Chapter 3: Building a Power BI Semantic Model
Designing a Semantic Model
How to design a semantic model
Implementing a Semantic Model
How to implement a semantic model
Creating Relationships
How to create relationships
Configuring Model Metadata
How to configure model metadata
Enriching a Model with DAX Measures
How to enrich a model with DAX measures
Creating Hierarchies and Groups
How to create hierarchies and groups
Supporting Virtual Table Relationships
How to support virtual table relationships
Designing Column-Level Security
How to design column-level security
Leveraging Aggregation Tables
How to leverage aggregation tables
Utilizing Hybrid Tables
How to utilize hybrid tables
How it works.
Chapter 4: Authoring Power BI Reports
Building Rich and Intuitive Reports
How to build rich and intuitive reports
Filtering at Different Scopes
How to filter at different scopes
Integrating Card Visualizations
How to integrate card visualizations
Using Slicers
How to use slicers
Controlling Visual Interactions
How to control visual interactions
Utilizing Graphical Visualizations
How to utilize graphical visualizations
Creating Table and Matrix Visuals
How to create table and matrix visuals
Enhancing Reports
How to enhance reports
Formatting Reports for Publication
How to format reports for publication
Designing Mobile Layouts
How to design mobile layouts
Creating Paginated Reports
How to create paginated reports
Chapter 5: Working in the Power BI Service
Building a Dashboard
How to build a dashboard
Preparing for Q&
A
How to prepare for Q&
Adding Alerts and Subscriptions
How to add alerts and subscriptions
Streaming Semantic Models
How to stream semantic models
Authoring Dataflows
How to author dataflows
Creating Scorecards
How to create scorecards
Chapter 6: Getting Serious About Date Intelligence
Preparing the Date Dimension via the Query Editor
How to prepare the date dimension
Authoring Date Intelligence Measures
How to author date intelligence measures
Developing Advanced Date Intelligence Measures
How to develop advanced date intelligence measures
Simplifying Date Intelligence with DAX and Calculated Tables
How to simplify date intelligence
Leveraging Calculation Groups
How to leverage calculation groups
Chapter 7: Parameterizing Power BI Solutions
Filtering Reports Dynamically
How to filter reports dynamically
Leveraging Query Parameters
How to leverage query parameters
Working with Templates
How to work with templates
Converting Static Queries to Dynamic Functions
Getting ready.
How to convert static queries to dynamic functions
Capturing User Selections with Parameter Tables
How to capture user selection with parameter tables
Forecasting with What-If Analysis
How to forecast with what-if analysis
Chapter 8: Implementing Dynamic User-Based Visibility in Power BI
Defining RLS Roles and Filter Expressions
How to define RLS roles and filter expressions
Designing Dynamic Security Models
How to build dynamic security models
Building Dynamic Security for DirectQuery
How to build dynamic security models for DirectQuery
Displaying the Current Filter Context
How to display the current filter context
Avoiding Manual User Clicks
How to avoid manual user clicks
Chapter 9: Applying Advanced Analytics and Custom Visuals
Incorporating Advanced Analytics
How to incorporate advanced analytics
Enriching Content with Custom Visuals and Quick Insights
How to enrich content with custom visuals and Quick Insights
Creating Geospatial Mapping with ArcGIS Maps
How to create geospatial mapping with ArcGIS maps
Democratizing Artificial Intelligence.
Show 149 more Contents items
ISBN
9781835464663 ((electronic bk.))
OCLC
1451040755
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Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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