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386
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A
administrators adding 8 Advanced Editor using 232-237
AdventureWorks data 16 artificial intelligence (AI) 143 artificial intelligence insights
exploring 143-147 authentication
to data sources 15-20 types 15
Azure Data Lake Storage integration 347-351
Azure SQL Database 16, 173
C
centralized ETL
creating, with dataflows 314-326 cluster values 298-302
cognitive services 143 columns
managing 78 pivoting 124-129 removing 81
Index
selecting 79, 80 splitting 132-136 unpivoting 124-129
columns from examples adding 270-278
Common Data Model (CDM) 347-351 computed entity 334
conditional columns about 278
adding 278-283 connector
navigating 36-38 connectors, categories
Azure 39 databases 38 file 38
online services 39 other 39
Power platform 39 connector type
changing 23-25 custom columns adding 283-289 custom functions
about 289 invoking 289-297
388 Index
D
data
extracting 136-139 grouping 120-124 obtaining 36-38
Data Analysis Expression (DAX) about 242
versus M 238-242 database connector
query, creating from 56-62 data gateway
managing, on Power BI portal 8-14 data profiling tools
using 82-90
data source permissions changing 21-23, 25
data sources authentication 15-20
managing, with Power Query 29-33 data types
formatting 108-117 data volumes
managing, with Power Query 29-33 Diagnose
using, as Power Query step 379-382 Diagram view
using 96-106
E
empty rows filling 129-131
Extract Table Using Examples 49
F
file connectors
query, creating from 39-49 folder connector
query, creating from 49-55 function formula, parts
function definition 292 input values, defining 292 value returned 292
G
Gateway Cluster Settings 9
H
headers
rows, using as 118-120
I
incremental refresh leveraging 212-223
J
joining methods using 156-164 JSON or XML
parsing 139-143
L
licensing options, Power BI reference link 327
linked entities 335
Index 389
M
M
queries, writing 250-259 tables, creating 259-264 tips and tricks 264-267
using, on existing queries 243-250 versus DAX 238-242
machine learning (ML) 147 Microsoft O365 6
M IntelliSense 242 M syntax
using 232-237 multiple files
combining 169-173
O
Oracle Data Access Components (ODAC) 62
P
parameters
filtering with 189-203 setting up 182-188
personal mode gateway 3 Power Automate 346 Power BI
about 6 URL 8
Power BI dataflow, best practices about 341
Azure Data Lake Storage integration 347-351
Common Data Model 347-351 data refresh, structuring 344-346 organizing 342-344
Power BI dataflows about 31
building, with Power BI Premium capabilities 326-341
staging 342, 343
used, for centralizing ETL 314-326 using 304-314
Power BI gateway download link 3 installing 3-7, 15
Power BI portal
data gateway, managing on 8-14 Power BI Premium capabilities
used, for building dataflow 326-341 Power Query
about 36, 242 solving, challenges 25
Power Query Desktop 37 Power Query Editor
exploring 72-77
Power Query online 38, 304 Power Query, solving challenges
consistent experience, providing across platforms 33
data sources, managing 29-33 data volumes, managing 29-33 low code tool, using 26, 27
Power Query step Diagnose, using 379-382
Q
Queries pane shortcuts using 91, 92
query
appending 165-168
creating, from database connector 56-62 creating, from file connectors 39-49
390 Index
creating, from folder connector 49-55 creating, from web connector 62-69 merging 150-155
M, using on 243-250 writing, with M 250-259
Query Dependencies view using 173-180
Query Diagnostics option exploring 354-357
Query Diagnostics results
used, for designing report 363-379 Query Diagnostics session
managing 358-363 query folding
leveraging 212-223 performing 203-212
query load disabling 223-230
Query Settings pane shortcuts using 93-96
R
Recovery key 6 report
designing, with Query Diagnostics results 363-379
REST API 346 rows
using, as headers 118-120
S
Schema view using 96-105
standard/enterprise mode gateway 3
T
tables
creating, in M 259-264
retrieving, by writing SQL statements 56 selecting/viewing 56
transformation dataflows 343
W
web connector
query, creating from 62-69