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

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781803238951

Length 692 pages

Edition 2nd Edition

Tools

AWS

Concepts

Cloud Computing

Authors (4):

Neelanjali Srivastav

Saurabh Shrivastava

Alberto Artasanchez

Imtiaz Sayed

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Table of Contents (19) Chapters

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

Handling streaming data in AWS

Speed is key characteristic businesses are looking for in a competitive edge in today's world. Consumers increasingly want experiences that are timely, targeted, and tailored to their specific needs and reject those that aren’t, whether they are applying for a loan, investing, checking health alerts, online shopping, tracking home security alerts, or monitoring systems. Insights from data are perishable and can lose value quickly. Streaming data processing allows analytical insights to be gathered and acted upon instantly and deliver desired customer experience.

Batch processing data doesn't allow for real-time risk mitigation or customer authentication. And the customer experience can be ruined - and is hard to recover - if action isn't taken in real-time. Acting on real-time data can help prevent fraud and increase customer loyalty. Untimely data, on the other hand, can inhibit your firm’s ability to grow. Following are the...

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Handling streaming data in AWS

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Table of Contents (19) Chapters