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Book Overview & Buying
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Table Of Contents
AWS for Solutions Architects - Third Edition
By :
A
ACID data consistency model 283
AI/ML
overview 521, 522
AI types
general AI 520
limited memory 520
narrow AI 520
reactive machines 520
self-aware 520
theory of mind 520
All up-front (AURI) 438
Amazon Athena 79
versus RedShift Spectrum 503
workgroups 493
Amazon Athena optimization 494
approximate function use 502
columnar data store generation optimization 498, 499
column selection 499
data bucketing 495
data partitions, optimizing 494
file compression 496, 497
file size optimization 497, 498
GROUP BY clause optimization 502
join optimization 501
ORDER BY clause optimization 501
predicate pushdown 500, 501
Amazon Aurora 291
features 292-294
use cases 294
Amazon Aurora Distributed SQL (DSQL) 295, 296
Amazon Bedrock 540, 547, 548
benefits 548
continued pre-training 551, 552
features 549-552
Intelligent Prompt Routing and caching 550
model...
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