The Complete Power BI Engineering Cookbook: Data Modeling, DAX, and Optimization

Enhanced Summary: Microsoft Power BI Cookbook (Second Edition)

1. Author Credentials and Expertise

Authors: Greg Deckler and Brett Powell
Both authors are recognized authorities in Business Intelligence and the Microsoft Power BI ecosystem. Their technical depth and field experience ensure that each solution presented in the book is reliable, actionable, and aligned with industry standards.

2. Book Overview and Reference Information

Title: Microsoft Power BI Cookbook – Second Edition
This book compiles more than 90 hands-on, solution-oriented recipes designed to build advanced proficiency in Microsoft Power BI. Covering the full BI development lifecycle—from data extraction and transformation to semantic modeling, DAX calculations, and performance optimization—it equips readers with proven techniques applicable to real business scenarios.

Unique Value:
The cookbook structure provides step-by-step solutions that address specific challenges, ranging from foundational tasks to the most advanced Power BI capabilities (DAX patterns, Row-Level Security, VertiPaq tuning, and more).

3. Edition Details and Publication Data

Publisher: Packt Publishing
Edition: Second Edition
Copyright: © 2021 Packt Publishing
Series: Part of Packt’s “Cookbook” collection, known for delivering practical, technical, solution-focused guides.

4. Related Books from the Same Publisher

The book sits within Packt’s advanced analytics and IT professional series.
Comparable titles include:

• SQL Server 2019 Cookbook

• Data Analysis with Python Cookbook

• PowerShell Core Cookbook

5. Detailed and Expanded Book Summary

Data Preparation & Transformation (Power Query / M)

The book provides detailed recipes for:

• Connecting to complex or large-scale data sources

• Cleaning and shaping data using M

• Applying functions such as Table.NestedJoin, Table.RemoveColumns, Table.SelectColumns, and SQL native queries
  These techniques help streamline data ingestion while optimizing query performance.

Data Modeling & Relationships

Advanced modeling strategies cover:

• Virtual tables and relationship modeling

• Managing table visibility and report layer simplification

• Parameter tables and user selection capture
  The objective is to build semantic models that are elegant, efficient, and scalable.

DAX Calculations & Measures

The authors provide hands-on guidance on:

• Measures, calculated columns, calculated tables

• Functional patterns using VAR, CALCULATE, FILTER, ranking functions, and dynamic security

• Applying USERNAME() and role-based logic for secure data access

Visualization Techniques & User Experience

Readers learn to build informative and interactive report layers through:

• Visual customization

• Interaction control

• Top-N filtering and dynamic visuals

• Enhanced layout techniques for clarity and performance

Governance, Optimization & Deployment

Critical BI engineering concepts include:

• VertiPaq engine performance optimization

• Using VertiPaq Analyzer and Tabular Editor for metadata management

• Implementing Row-Level Security (RLS)

• Managing enterprise-scale deployment workflows (e.g., Power BI Service, Teams)

6. Target Audience

• Power BI Developers looking to expand their technical toolkit

• Intermediate and Advanced Users aiming to solve complex business scenarios

• BI Architects and Data Engineers needing best practices for modeling, governance, and performance tuning

7. Key Marketing Motivations

• Ready-to-Use Solutions: The recipe-based approach accelerates problem solving.

• Cutting-Edge Expertise: Covers advanced DAX, M, VertiPaq internals, and enterprise governance.

• Real-World Applicability: Every chapter is designed for operational, technical, and professional environments.

8. Final Benefits and Conclusion

This cookbook stands as a technical reference for Power BI professionals who want to build high-performance data models, implement robust governance, and deliver visually compelling and optimized analytical solutions.
It enables readers to work faster, resolve advanced challenges, and elevate the quality of their BI deliverables far beyond basic tutorials.

Big Data Consult Assurance

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