Best Books for Reading about POWER BI

Power BI books explain how Power BI assists sizable companies in envisioning data in the form of clear graphs, charts, and analytics that are comprehensive to all. Microsoft Power BI is a business intelligence and analytics platform with applications and services to impart intelligible, visually pleasing, and interactive data.

The list of books that we have compiled below will give the readers a clear understanding of Power BI. These are essential reads for anyone wanting to increase their knowledge or progress in their pursuits.

10 Must-Read Power BI Books

We Have compiled a list of the best ten books for our readers to help them grasp Power BI.

Sr No	Books	Author	Published	Rating
1.	Microsoft Power BI Cookbook: Creating Business Intelligence Solutions of Analytical Data Models, Reports, and Dashboards	Brett Powell	2017	Amazon: 4.2 Goodreads: 3.94
2.	Power Pivot and Power BI	Avichal Singh, Rob Collie	2016	Amazon: 4.5 Goodreads: 4.36
3.	Microsoft Power BI: Quick Start Guide	Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana	2018	Amazon: 4.3 Goodreads: 4.36
4.	Analyzing Data with Power BI and Power Pivot for Excel	Alberto Ferrari, Marco Russo	2017	Amazon:4.4 Goodreads: 4.00
5.	Power BI MVP Book	Reza Rad, Anil Maharjan, Indira Bandari, Liam Bastick , Ken Puls, Jesus Gil, Thomas LeBlanc, Ike Ellis, Matt Allington, Leila Etaati, Markus Ehrenmüller, Ashraf Ghonaim, Eduardo Castro, Manohar Punna, Treb Gatte, Gilbert Quevauvilliers, Michael Johnson, Shree Khanal, Asgeir Gunnarsson, Greg Low, Gogula Aryalingam	2019	Amazon: 4.3 Goodreads: 3.88
6.	Supercharge Power BI	Matt Allington	2021	Amazon 4.5 Goodreads- 4.41
7.	Collect, Combine, and Transform Data using Power Query in Excel and Power BI	Raviv Gil	2018	Amazon 4.5 Goodreads: 4.00 ‎
8.	Microsoft Power BI Dashboard: Step-by-Step	Errin O’Connor	2020	Amazon 4.2 Goodreads- 3.40
9.	Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence	Philip Seamark	2018	Amazon:4.3 Goodreads: 4.56
10.	Power BI: Business Intelligence Clinic-Create and Learn	Roger F Silva	2018	Amazon: 4.3 Goodreads: 4.53

Let us go through each book review to help select the right one for your requirements.

Book #1: Microsoft Power BI Cookbook

Author: Brett Powell

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Review:

The author does a great job of laying down the foundational way of building business intelligence solutions and delves deep down into the advanced regions of Power BI. The book is a great help in providing solutions to developing and deploying enhanced experiences in dashboards and visualizations.

Key Points:

• The book contains topics such as configuring Power BI desktop options and Power BI publisher for Excel.
• The content covers configuring DAX studio in depth to help build and integrate logic and analysis into business solutions.
• The reader has extensive knowledge within Palm Reach on topics such as creating a Power BI data model, developing solutions for system monitoring, parameterizing the Power BI solutions, etc.

Book #2: Power Pivot and Power BI

Authors: Avichal Singh, Rob Collie

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Review:

Brought to the general audience by the pioneers of power pivot themselves. This book will leave you awed and impressed with its offering of subject matter guidance ranging from focusing on the already basics to the complexities of power suite. The book best suits individuals hoping to extend their knowledge to great heights. A remarkable job has been done in the area of illustrations, and the layout is none like the other books of its time.

Key Points:

• It throws light on topics such as foundations and working of the pivot and lays a brief overview of Power BI and DAX.
• A comprehensive book with a fresh layout for all individuals wanting to learn more about introduction to DAX measures, calculated columns, time intelligence, etc.

Book #3: Microsoft Power BI Quick Start Guide

Authors: Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana

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Review:

The book begins with a reasonably light, quick start in the Power BI field, guided by industry experts. The content is fully packed with relevant examples and includes checkpoints to determine reader understanding. It offers a step-by-step approach to getting familiar with the toolboxes of Power BI in relatively less time.

Key Points:

• The book integrates the fundamentals of Microsoft Power BI with the potential of Business Intelligence in today’s market.
• Before designing a data model, the reader learns and understands how to obtain data from multiple sources.
• The readers further their knowledge by learning to access data, building a Power BI data model, implementing dynamic user-based visibility, etc.

Book #4: Analyzing Data with Power BI and Power Pivot for Excel

Authors: Alberto Ferrari, Marco Russo

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Review:

The book is the holy grail of information about data modeling, analytical models, and data analysis concerning Power BI and Power Pivot. The reader can Familiarize themselves with granularity, calendar-related calculations, and snapshots to ace the reasonings of this book in their work environment.

Key Points:

• The book overlays great details on various schema designs, different types of table dimensions, and data modeling.
• This book teaches The reader about ETL, visual settings, and data visualization.
• The book is meant for professionals who understand syntaxes and SQL queries.

Book #5: Power BI MVP Book

Authors: Reza Rad, Anil Maharjan, Indira Bandari, Liam Bastick , Ken Puls, Jesus Gil, Thomas LeBlanc, Ike Ellis, Matt Allington, Leila Etaati, Markus Ehrenmüller, Ashraf Ghonaim, Eduardo Castro, Manohar Punna, Treb Gatte, Gilbert Quevauvilliers, Michael Johnson, Shree Khanal, Asgeir Gunnarsson, Greg Low, Gogula Aryalingam

Get this book here

Review:

The book is a unique take on transforming traditional power BI books by delivering the best top-notch quality tips in each chapter such that the reader can become skilled by reading any chapter from the book. The content covers a broad spectrum from Qlik to Power BI subsidiary topics.

Key Points:

• The book contains lessons on integrating Power BI with REST API, the architecture of a Power BI solution in an enterprise environment, shared dimensions, etc.
• The book offers invaluable info as it is a combined effort of Power BI architects,.NET developers, consultants, and everyone with a basic idea of what to do with Power BI.
• It includes content explained with real-life case studies, which maintain the book’s authenticity.

Book #6: Supercharge Power BI

Author: Matt Allington

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Review:

Data modeling through Power BI couldn’t get any easier, as portrayed in the book Supercharge Power BI. The book shows a clear and concise learning pathway for understanding Power BI concepts and how to transfer them to Excel.

Key Points:

• Highlights the usage of data acquisition, DAX language for preparing data, and visualized data for analysis.
• It is great to familiarize yourself with simultaneous hands-on practice sheets with the learnings of DAX like never before.
• The reader learns and puts the essential TheM Language into the analysis.

Book #7: Collect, Combine, and Transform Data using Power Query in Excel and Power BI

Author: Gil Raviv

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Review:

Establishing the benchmark in providing the best data wrangling and power query skills to take the reader to the next level. Packed with techniques to gain productivity and efficiency through workspace tools that will leave you confident in data preparation challenges, M language, and power queries.

Key Points:

• Gain knowledge of social listening, solving real-life problems with data analysis, query editor, using custom functions, etc.
• They are packed with topics such as unpivoting and transforming data, ad-hoc analysis, scaling up queries, and many more.
• Suitable documentation is available on the online portal for the book.

Book #8: Microsoft Power BI Dashboard

Author: Errin O’Connor

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Review:

A practical guide that involves the user step by step through various examples and case studies to hook you from the get-go. A real-world approach to identifying and displaying the contents of this book in a fresh layout combined with relevant examples and DAX elements.

Key Points:

• The major pointers of this book are the difference between measures and calculated columns, Dax Formatting, concisely implementing BI examples in real life, etc.
• Helps understand and develop Power BI dashboards with SharePoint, SQL Server, Azure SQL, etc.
• The book requires previous knowledge of Power BI queries and is suitable for working professionals and people with earlier database knowledge.

Book #9: Beginning DAX with Power BI

Author: Philip Seamark

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Review:

Bringing a book assembled with beginner-level topics is valuable enough for industry-level professionals. Its easy-to-follow flow and use of correct examples smoothen the reader’s grasp. Its ability to ingrain the matter in the reader’s brain in the know-how of DAX and Power BI makes it an immersive read.

Key Points:

• The book explains DAX through a SQL viewpoint, mapping techniques from SQL to DAX, solving usual data modeling errors, etc.
• It helps to deft the reader’s filtering, Debugging, and Optimizing skills.
• The reader gets better with fine-tuned learning shortcuts exclusively from the experts.

Book #10: Power BI – Business Intelligence Clinic: Create and Learn

Author: Roger F. Silva

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Review:

The author has Formulated and created an easy and quick read on a popular topic, which is no easy feat. This book manages to pull this off with its large sets of illustrations and operations on data within Power BI. It is engaging and easy to grasp, which makes it a popular pick.

Key Points:

• The reader understands the power and tools of Power Bi and unleashes their power toward business analysis.
• The reader gets Insights into reporting and chart applications, formatting dashboards, and power Bi products.
• The topics of creating calculated columns, creating measures and visualizations, and reports reflect great precision.

Recommended Books

Our article on the top 10 Power BI books aims to be of help to you. For more such books, EDUCBA recommends the following,

1. GIS Books
2. Kafka Books
3. Data Mining Books
4. Bootstrap Books

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