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
...
