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  • Book Overview & Buying AWS for Solutions Architects
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AWS for Solutions Architects

AWS for Solutions Architects - Third Edition

By : Saurabh Shrivastava, Neelanjali Srivastav, Dhiraj Thakur
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AWS for Solutions Architects

AWS for Solutions Architects

1 (1)
By: Saurabh Shrivastava, Neelanjali Srivastav, Dhiraj Thakur

Overview of this book

AWS for Solutions Architects, Third Edition is your essential guide to thriving in the fast-evolving AWS ecosystem. As a solutions architect, staying on top of the latest technologies and managing complex cloud migrations can be challenging, and this book addresses those pain points head-on. Seasoned AWS experts Saurabh Shrivastava, Neelanjali Srivastav, and Dhiraj Thakur bring deep industry insight and hands-on experience to every chapter. This third edition introduces cutting-edge topics, including Generative AI and MLOps, to keep pace with the evolving cloud landscape and guide you in building AI-driven applications. The book also reflects updates from the AWS Well-Architected Framework and aligns with the latest AWS certifications, making it a future-ready guide for cloud professionals. The chapters help you stay ahead of the competition with in-depth coverage of the latest AWS certifications, including AI Practitioner Foundation and Data Engineer Associate, helping you position yourself as a leader in cloud innovation. By the end of this book, you'll transform into a solutions architecture expert, equipped with the strategies, tools, and certifications needed to handle any cloud challenge.
Table of Contents (23 chapters)
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Lock Free Chapter
1
Part 1: Exploring AWS
5
Part 2: AWS Core Service Offerings
10
Part 3: AWS Cloud Security and Monitoring
13
Part 4: AWS Advance Analytics, ML, and GenAI Service Offerings
16
Part 5: Applying Architectural Patterns and Reference Architectures
19
Part 6: Hands-On Labs
21
Other Books You May Enjoy
22
Index
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Index

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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83
Tech Concepts
36
Programming languages
73
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