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Expert Data Modeling with Power BI

Expert Data Modeling with Power BI - Second Edition

By : Soheil Bakhshi
4.9 (66)
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Expert Data Modeling with Power BI

Expert Data Modeling with Power BI

4.9 (66)
By: Soheil Bakhshi

Overview of this book

This 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.
Table of Contents (22 chapters)
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1
Section I: Data Modeling in Power BI
4
Section II: Data Preparation in Query Editor
10
Section III: Data Modeling
13
Section IV: Advanced Data Modeling
20
Other Books You May Enjoy
21
Index
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Index

A

absolute position 630

Access 128

Advanced Editor 102

AdventureWorksDW2019 database 586

Adventure Works organization 531

Agg Awareness 414

aggregation, managing 435-437

aggregation table, creating 429, 430

aggregation table, setting 433-435

approaches 427

dimensions storage mode, setting 433-435

relationships, creating 432

tables, loading in DirectQuery mode 430, 431

using 426-428

aggregation, at Date level

control measures, creating in base table 418

Internet Sales table, summarizing 415, 416

new measures, creating in summary table 418

relationships, creating 416, 417

summary table, hiding 419-421

aggregations

implementing, at Date level 415

implementing, at Year and Month level 421-426

implementing, for non-DirectQuery data sources 414

important notes 449, 450

managing 435-437

testing 438

using 413, 414

aggregation, testing options

DAX Studio 442, 443

...
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83
Tech Concepts
36
Programming languages
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Expert Data Modeling with Power BI
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