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Data Cleaning with Power BI

You're reading from  Data Cleaning with Power BI

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781805126409
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Gus Frazer Gus Frazer
Profile icon Gus Frazer

Table of Contents (23) Chapters

Preface Part 1 – Introduction and Fundamentals
Chapter 1: Introduction to Power BI Data Cleaning Chapter 2: Understanding Data Quality and Why Data Cleaning is Important Chapter 3: Data Cleaning Fundamentals and Principles Chapter 4: The Most Common Data Cleaning Operations Part 2 – Data Import and Query Editor
Chapter 5: Importing Data into Power BI Chapter 6: Cleaning Data with Query Editor Chapter 7: Transforming Data with the M Language Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA) Part 3 – Advanced Data Cleaning and Optimizations
Chapter 9: Advanced Data Cleaning Techniques Chapter 10: Creating Custom Functions in Power Query Chapter 11: M Query Optimization Chapter 12: Data Modeling and Managing Relationships Part 4 – Paginated Reports, Automations, and OpenAI
Chapter 13: Preparing Data for Paginated Reporting Chapter 14: Automating Data Cleaning Tasks with Power Automate Chapter 15: Making Life Easier with OpenAI Assessments Index Other Books You May Enjoy

Automating refreshing of data

Data in Power BI needs to be refreshed regularly to ensure that your reports reflect the most recent information. Power Automate can be instrumental in automating the data refresh process. By setting up a workflow that triggers a data refresh at scheduled intervals or in response to specific events, you can ensure that your Power BI reports are always up to date. This is particularly useful when dealing with dynamic datasets that undergo frequent changes. Automating the data refresh not only saves time but also ensures the accuracy and relevance of your analyses.

In addition to these advantages, refreshing data works really well when you’re building complex models that leverage a number of dataflows. Instead of having to manually refresh dataflows, wait for them to complete, and then action the refresh of the semantic model; you can simply build this into a Power Automate flow. Of course, you could just schedule refreshes in Power BI, but the...

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