May 2010
Beginner
599 pages
18h 56m
English
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INDEX
Additive measures, 237
Agent technology, 59
Aggregates
need for, 266
Aggregation
goals, 271
Alert systems, 188
Analysis, 359
Analytical processing, see OLAP
types of
independent data marts, 34, 156
Archived data, 36
Backup, see also Recovery
reasons for, 505
Best practices, real-world examples of,
airlines, 549
health care, 550
home improvement retail, 552
international shipping and delivery, 551
life insurance, 553
phone service, 552
rail services, 551
securities, 551
specialty textiles, 550
telecommunications, 553
travel, 550
Bitmapped index, 481–482. See also Indexing
B-Tree index, 479–480. See also Indexing
Business data, dimensional nature of, 101–102
Business dimensions
Business intelligence
two environments, 19
Business metrics, 107
Business requirements, see Requirements
CASE tools, 232
Categories, in dimensions, 106–107
Checkpoint, for data loads, 493
Cleansing, see Data cleansing
Client/server architecture, 174–175
Cluster detection, in data mining, 440–443
Clustered indexes, 482
Clustering, 466 ...
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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.