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AWS for Solutions Architects

You're reading from   AWS for Solutions Architects The definitive guide to AWS Solutions Architecture for migrating to, building, scaling, and succeeding in the cloud

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803238951
Length 692 pages
Edition 2nd Edition
Tools
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Authors (4):
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Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
Alberto Artasanchez Alberto Artasanchez
Author Profile Icon Alberto Artasanchez
Alberto Artasanchez
Imtiaz Sayed Imtiaz Sayed
Author Profile Icon Imtiaz Sayed
Imtiaz Sayed
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Table of Contents (19) Chapters Close

AWS for Solutions Architects, Second Edition: Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services
1 Understanding AWS Principles and Key Characteristics FREE CHAPTER 2 Understanding AWS Well-Architected Framework and Getting Certified 3 Leveraging the Cloud for Digital Transformation 4 Networking in AWS 5 Storage in AWS – Choosing the Right Tool for the Job 6 Harnessing the Power of Cloud Computing 7 Selecting the Right Database Service 8 Best Practices for Application Security, Identity, and Compliance 9 Dive efficiency with Cloud Operation Automation and DevOps in AWS 10 Bigdata and streaming data processing in AWS 11 Datawarehouse, Data Query and Visualization in AWS 12 Machine Learning, IoT, and Blockchain in AWS 13 Containers in AWS 14 Microservice and Event-Driven Architectures 15 Domain-Driven Design 16 Data Lake Patterns – Integrating Your Data across the Enterprise 17 Availability, Reliability, and Scalability Patterns 18 AWS Hands-On Lab and Use Case

Datawarehouse in AWS with Amazon Redshift

Data is a strategic asset for organizations, not just new businesses and gaming. Data has gone from being cumbersome and expensive to store to becoming the lifeblood of many companies business models. Organizations today are using data to drive decisions like when to offer new product offerings, how to introduce new revenue streams, where to automate manual processes, how to earn customer trust, etc. All of these decisions can fuel innovation and drive your business forward.

You want to leverage your data to gain business insights, but these data are distributed into silos. For example, Structured data resides in relational databases, Semi-structured data is stored in object stores, click stream data that is streaming from the internet is stored in streaming storage, and you also need to address emerging use cases such as machine learning. Business users in your organization want to access and analyze live data themselves to get instant insight...

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