Название: Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouses with Power BI (6th Early Release)Автор: Markus Ehrenmueller-Jensen
Издательство: O’Reilly Media, Inc.
Год: 2024-03-12
Страниц: 504
Язык: английский
Формат: epub
Размер: 19.9 MB
Data modeling is the single most overlooked feature in the Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher.
Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's data model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems.
The first part of this book will introduce you to the necessary concepts in a general way, which is written in an agnostic way: You can apply this to any analytical system. In the second part you will learn about the properties of a data model in Power BI. The rest of this book works its way over DAX, Power Query to SQL. The book is designed for you, the reader, to have an individual experience, based on your knowledge. You may not know DAX, Power Query and SQL. But it is up to your choice, to pick and choose to fill in gaps in your knowledge. Maybe you need a refresher on which parts a data model consists of? Part I has you covered. Maybe you struggle with a bunch of Excel files on which you need to create reports? The part on Power Query will be your starting point. Maybe your task is to build a data warehouse to which other people connect with Power BI Desktop? Then the part about SQL will present you with solutions to typical problems.
This book shows you how to:
Normalize and denormalize with DAX, Power Query, and T-SQL
Apply best practices for calculations, flags and indicators, time and date, and role-playing dimensions with DAX, Power Query, and T-SQL
Solve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQL
Discover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQL
Work with tables, relations, set operations, normal forms, dimensional modeling, and ETL
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