Frazer Data Cleaning with Power BI

The definitive guide to transforming dirty data into actionable insights
1. Auflage 2024
ISBN: 978-1-80512-605-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 340 Seiten

No detailed description available for "Data Cleaning with Power BI".

Autoren/Hrsg.

Frazer, Gus

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Table of Contents - Introduction to Power BI Data Cleaning
- Understanding Data Quality and Why Data Cleaning is Important
- Data Cleaning Fundamentals and Principles
- The Most Common Data Cleaning Operations
- Importing Data into Power BI
- Cleaning Data with Query Editor
- Transforming Data with the M Language
- Using Data Profiling for Exploratory Data Analysis (EDA)
- Advanced Data Cleaning Techniques
- Creating Custom Functions in Power Query
- M Query Optimization
- Data Modeling and Managing Relationships
- Preparing Data for Paginated Reporting
- Automating Data Cleaning Tasks with Power Automate
- Making Life Easier with OpenAI

Über Autor(innen)

Frazer Gus:

Gus Frazer is a seasoned analytics consultant who focuses on business intelligence solutions. With over eight years of experience working for the two market-leading platforms, Power BI (Microsoft) and Tableau, he has amassed a wealth of knowledge and expertise. He also has experience in helping hundreds of customers to drive their digital and data transformations, scope data requirements, drive actionable insights, and most important of all, clean data ready for analysis.