Data Cleaning with Power BI: The definitive guide to transforming dirty data into actionable insights - Couverture souple

Gus Frazer

Couverture souple

ISBN 10 : 1805126407 ISBN 13 : 9781805126409

Editeur : Packt Publishing, 2024

Synopsis

Unlock the full potential of your data by mastering the art of cleaning, preparing, and transforming data with Power BI for smarter insights and data visualizations

Key Features

• Best practices for using Power BI to connect, prepare, clean, and analyze multiple sources of data
• Create, clean, transform and carry out EDA (exploratory data analysis) using DAX, PowerQuery, and M language
• Apply the knowledge to tackle common data challenges for visualizations in Power BI

Book Description

Microsoft Power BI has been a leading business intelligence tool for many years now, offering a range of powerful data cleaning and preparation options through its suite of tools including DAX, Power Query, and M language.

This book serves as a comprehensive guide to Power BI data cleaning, starting with an introduction to data quality and the importance of data cleaning. You'll learn the fundamentals of data cleaning, including common data challenges and best practices for handling them. You'll discover how to import and clean data with Query Editor, and transform data using M query language in Power BI. As you move ahead, you'll explore how to leverage Power BI's data modeling capabilities to clean your data and establish relationships that make analysis easy. In the later chapters, you will learn about the best practices for data cleaning and automating tasks with Power Automate. Finally, you'll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier.

By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools to clean, transform and prepare your data for analysis and visualization.

What you will learn

• Connect to data sources using both import and DirectQuery options
• Use the Query Editor to apply data transformations
• Transform your data using M query language
• Design clean optimized data models by designing relationships and DAX calculations
• Use Power BI to carry out exploratory data analysis
• Tackle the most common data challenges with best practices
• Explore the benefits of using OpenAI and ChatGPT to simplify data cleaning

Who This Book Is For

This book would be useful for data analysts, business intelligence professionals, business analysts, data scientists, and anyone else who needs to work with data on a regular basis.

Additionally, the book would be helpful for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI.

Ideally if you have a basic knowledge of BI tools and concepts then this book will help you advance your skills in Power BI.

Table of Contents

1. Introduction to Power BI Data Cleaning
2. Understanding data quality and why data cleaning is important
3. Data cleaning fundamentals & key principles
4. Most common data challenges
5. Importing Data Into Power BI
6. Cleaning Data with Query Editor
7. Transforming data with the M language
8. Using data profiling for EDA (Exploratory Data Analysis)
9. Advanced Data Cleaning Techniques
10. Creating custom functions in Power Query
11. M Query Optimisation
12. Data Modelling and Managing Relationships
13. Data Cleaning Best Practices
14. Automating data cleaning tasks with Power Automate
15. Making life easier with OpenAI

A propos du livre

À propos de l'auteur

Gus Frazer is a seasoned Analytics Consultant focused on Business Intelligence solutions. With over 7 years of experience working for the two market-leading platforms, Power BI & Tableau, has amassed a wealth of knowledge and expertise. Gus has helped hundreds of customers to drive their digital and data transformations, scope data requirements, drive actionable insights, and most important of all, cleanse data ready for analysis. Most recently helping to set up, organize and run the Power BI UK community at Microsoft. He holds 6 Azure and Power BI certifications, including the PL-300 and DP-500 certifications. In this book, Gus offers readers invaluable guidance on ingesting, preparing, and cleansing data for analysis in Power BI.

À propos de la quatrième de couverture

Unlock the full potential of your data by mastering the art of cleaning, preparing, and transforming data with Power BI for smarter insights and data visualizations Key Features:Implement best practices for connecting, preparing, cleaning, and analyzing multiple sources of data using Power BI Conduct exploratory data analysis (EDA) using DAX, PowerQuery, and the M language Apply your newfound knowledge to tackle common data challenges for visualizations in Power BI Purchase of the print or Kindle book includes a free PDF eBook Book Description: Microsoft Power BI offers a range of powerful data cleaning and preparation options through tools such as DAX, Power Query, and the M language. However, despite its user-friendly interface, mastering it can be challenging. Whether you're a seasoned analyst or a novice exploring the potential of Power BI, this comprehensive guide equips you with techniques to transform raw data into a reliable foundation for insightful analysis and visualization. This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You'll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you'll explore Power BI's data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. Finally, you'll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier. By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools for effective data preparation. What You Will Learn:Connect to data sources using both import and DirectQuery options Use the Query Editor to apply data transformations Transform your data using the M query language Design clean and optimized data models by creating relationships and DAX calculations Perform exploratory data analysis using Power BI Address the most common data challenges with best practices Explore the benefits of using OpenAI, ChatGPT, and Microsoft Copilot for simplifying data cleaning Who this book is for: If you're a data analyst, business intelligence professional, business analyst, data scientist, or anyone who works with data on a regular basis, this book is for you. It's a useful resource for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI. If you have a basic knowledge of BI tools and concepts, this book will help you advance your skills in Power BI.

Détails de l'édition

• Éditeur: Packt Publishing
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 1805126407
• ISBN 13: 9781805126409
• Reliure: Broché
• Nombre de pages: 304
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne