February 2024
Beginner to intermediate
340 pages
8h 19m
English
Content preview from Data Cleaning with Power BI
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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
use cases 134
automation
B
bidirectional cross-filtering (BDCF) 125, 210, 222
applying, results to model 213
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 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.