Power Bi Data Modeling
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Expert Data Modeling with Power BI
Author: Soheil Bakhshi
language: en
Publisher: Packt Publishing Ltd
Release Date: 2023-04-28
Take your Power BI reports to the next level by learning various data modeling techniques and leveraging the latest features of Power BI effectively Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Get an understanding of data modeling techniques using Power BI with this up-to-date guide Learn how to define the relationships between data sets to extract valuable insights Explore best practices for data preparation and modeling and build optimal data models to solve a wide variety of real-world business challenges Book DescriptionThis book is a comprehensive guide to understanding the ins and outs of data modeling and how to create full-fledged data models using Power BI confidently. In this new, fully updated edition, you'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. As you advance through the chapters, the book will demonstrate how to prepare efficient data models in the Power Query Editor and use simpler DAX code with new data modeling features. You'll explore how to use the various data modeling and navigation techniques and perform custom calculations using the modeling features with the help of real-world examples. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. Additionally, you'll learn valuable best practices and explore common data modeling complications and the solutions to supercharge the process of creating a data model in Power BI and build better-performing data models. By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support high-performing reports and data analytics.What you will learn Implement virtual tables and time intelligence functionalities in DAX to build a powerful model Identify Dimension and Fact tables and implement them in Power Query Editor Deal with advanced data preparation scenarios while building Star Schema Discover different hierarchies and their common pitfalls Understand complex data models and how to decrease the level of model complexity with different approaches Learn advanced data modeling techniques such as calculation groups, aggregations, incremental refresh, RLS/OLS, and more Get well-versed with datamarts and dataflows in PowerBI Who this book is for This MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. Basic working knowledge of Power BI and the Star Schema functionality are required to help you to understand the concepts covered in this book.
Power BI Data Modeling
Build Power BI Models Efficiently and Effectively 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. TABLE OF CONTENTS 1. Introduction to Microsoft Power BI 2. Microsoft Power BI Eco-system 3. Getting Started with Power BI and Connect with Data 4. My first Power BI Report 5. Intro to BI Building Blocks & Dimensional Mod Concepts 6. Get Data from Relational Databases 7. Cleansing, Blending and Transform Data using Power Query 8. Build Relationships 9. Introduction to DAX and Calculated Columns, Cal Measures & Hierarchies 10. Create Insightful Visuals 11. Row-level Security 12. Calculation Groups in Power BI 13. Self-service AI in Power BI 14. Incremental Refresh for Scalable Models 15. Composite Models & Implement Aggregations to Improve query performance 16. Self-service Data Prep for Any Data 17. Optimize DAX 18. Collaborate Your Power BI Workload 19. Performance Tuning via optimizing Storage and Memory
Expert Data Modeling with Power BI
Author: Soheil Bakhshi
language: en
Publisher: Packt Publishing Ltd
Release Date: 2021-06-11
Manage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BI Key Features Understand data modeling techniques to get the best out of data using Power BI Define the relationships between data to extract valuable insights Solve a wide variety of business challenges by building optimal data models Book DescriptionThis book is a comprehensive guide to understanding the ins and outs of data modeling and how to create data models using Power BI confidently. You'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. In this book, you'll explore how to use data modeling and navigation techniques to define relationships and create a data model before defining new metrics and performing custom calculations using modeling features. As you advance through the chapters, the book will demonstrate how to create full-fledged data models, enabling you to create efficient data models and simpler DAX code with new data modeling features. With the help of examples, you'll discover how you can solve business challenges by building optimal data models and changing your existing data models to meet evolving business requirements. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support reporting and data analytics.What you will learn Implement virtual tables and time intelligence functionalities in DAX to build a powerful model Identify Dimension and Fact tables and implement them in Power Query Editor Deal with advanced data preparation scenarios while building Star Schema Explore best practices for data preparation and modeling Discover different hierarchies and their common pitfalls Understand complex data models and how to decrease the level of model complexity with different approaches Learn advanced data modeling techniques such as aggregations, incremental refresh, and RLS/OLS Who this book is for This MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. You’ll need a solid grasp on basic use cases and functionalities of Power BI and Star Schema functionality before you can dive in.