IES Management College And Research Centre

Introduction to Microsoft Power BI
Microsoft Power BI Eco-system
Getting Started with Power BI and Connect with Data
My first Power BI Report
Intro to BI Building Blocks & Dimensional Mod Concepts
Get Data from Relational Databases
Cleansing, Blending and Transform Data using Power Query
Build Relationships
Introduction to DAX and Calculated Columns, Cal Measures & Hierarchies
Create Insightful Visuals
Row-level Security
Calculation Groups in Power BI
Self-service AI in Power BI
Incremental Refresh for Scalable Models
Composite Models & Implement Aggregations to Improve query performance
Self-service Data Prep for Any Data
Optimize DAX
Collaborate Your Power BI Workload
Performance Tuning via optimizing Storage and Memory
About the Authors

KEY FEATURES

Extensive examples illustrating Power BI and data modeling concepts.
Includes graphical images and explanations of using Power BI.
Numerous hands-on practical examples are teaching best practices in predictive modeling.
DESCRIPTION

Creating data models has never been straightforward. This book demonstrates how to formulate a complete business analytics model that combines several data sources, executes numerous computations, and scales across hundreds of BI users.

To begin, you'll learn about the Microsoft Power BI ecosystem by downloading the Power BI desktop and exploring all of its features and capabilities. Through examples, you'll learn how to connect to databases of Excel; and SQL Server, shaping the data with Power Query, and then transforming the data into actionable information. You will gain knowledge of the DAX language by exploring it, writing DAX functions, and creating hierarchies. You will be trained to develop effective business intelligence models by studying numerous data modeling topics.

You get to put professionals' best practices to the test when handling large data scenarios and executing analytics on top of them. Additionally, the book discusses how to scale Power BI while considering its storage, memory, and security requirements. You'll see that several new topics have been included, including performance tuning, DAX Studio, sharing Power BI reports, and publishing reports to Sharepoint online.

WHAT YOU WILL LEARN

Conduct profiling, cleansing, and transformation of data.
Build data models, aggregate data, and create hierarchies.
Practice DAX language, write calculations, and execute them.
Utilize advanced features including AI visualizations and performance analyzer.
Examine various connection types and connect data from different sources.
Enhance performance by boosting storage and memory.
WHO THIS BOOK IS FOR

This book is intended for data analysts, business analysts, and any other business user who are interested in learning how to develop data models using Power BI from beginning to end. To follow this book and master Power BI, a basic understanding of data visualization would be sufficient.