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You're reading from  Data Cleaning with Power BI

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781805126409
Edition1st Edition
Concepts
Data Analysis
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Author (1)
Gus Frazer
Gus Frazer
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Gus Frazer

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.
Read more about Gus Frazer

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Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

aggregated tables

cons 207

considerations 207

pros 207

AI

challenges, tackling with 294, 295

AI insights

examples 146

analytics (BI) managers 21

anomaly detection

examples 134

automated machine learning (AutoML) 134

implementing 135-145

use cases 134

automation

triggers, handling 260, 261

B

bidirectional cross-filtering (BDCF) 125, 210, 222

applying, results to model 213

best practices 213, 214

creating 210-212

using 209

big data 218

handling, best practices 218-220

working, challenges in Power BI 218

business intelligence (BI) 6, 21

business users 21

C

calculated columns 41

considerations 44

versus measures 41

Calculation group 43

calendars

adding, reasons 204, 205

cardinality 214, 215

...

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Data Cleaning with Power BI
Published in: Feb 2024Publisher: PacktISBN-13: 9781805126409
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Author (1)

author image
Gus Frazer

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.
Read more about Gus Frazer

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