In this chapter, you learned that the Power Query Editor is an extremely powerful tool for applying business rules to incoming data. Implementing data cleansing techniques can be as simple as right-clicking on a column, or more complex such as when building a Conditional Column. While the Power Query Editor does have a vast library of transforms available, you also learned that you can tap into the capabilities of R to extend what's possible when designing queries. Finally, this chapter also helped you learn that the decisions you make while building your queries can impact Query Folding, which can be incredibly important for the performance of your queries.
Microsoft Power BI Complete Reference
By :
Microsoft Power BI Complete Reference
By:
Overview of this book
Microsoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life.
In this Learning Path, you will learn to create powerful interactive reports by visualizing your data and learn visualization styles, tips and tricks to bring your data to life. You will be able to administer your organization's Power BI environment to create and share dashboards. You will also be able to streamline deployment by implementing security and regular data refreshes.
Next, you will delve deeper into the nuances of Power BI and handling projects. You will get acquainted with planning a Power BI project, development, and distribution of content, and deployment. You will learn to connect and extract data from various sources to create robust datasets, reports, and dashboards. Additionally, you will learn how to format reports and apply custom visuals, animation and analytics to further refine your data.
By the end of this Learning Path, you will learn to implement the various Power BI tools such as on-premises gateway together along with staging and securely distributing content via apps.
This Learning Path includes content from the following Packt products:
• Microsoft Power BI Quick Start Guide by Devin Knight et al.
• Mastering Microsoft Power BI by Brett Powell
Table of Contents (25 chapters)
Title Page
About Packt
Contributors
Preface
Free Chapter
Getting Started with Importing Data Options
Data Transformation Strategies
Building the Data Model
Visualizing Data
Using a Cloud Deployment with the Power BI Service
Planning Power BI Projects
Connecting to Sources and Transforming Data with M
Designing Import and DirectQuery Data Models
Developing DAX Measures and Security Roles
Creating and Formatting Power BI Reports
Applying Custom Visuals, Animation, and Analytics
Designing Power BI Dashboards and Architectures
Managing Application Workspaces and Content
Managing the On-Premises Data Gateway
Deploying the Power BI Report Server
Creating Power BI Apps and Content Distribution
Administering Power BI for an Organization
Scaling with Premium and Analysis Services
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Index
Customer Reviews