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

Amazon EMR Studio

EMR Studio is an integrated development environment (IDE) that reduces data scientists and engineers' time to build and deploy code. It is a fully managed application with single sign-on, Jupyter notebooks, automated infrastructure provisioning, and job diagnosis. Following are the key benefits of EMR studio:

Use corporate identity to log into notebooks instead of the AWS console: You can log into Amazon EMR Studio through a secure URL to manage notebooks using corporate identities via AWS SSO. There is no need to log into the AWS console. It is a multi-tenant studio where multiple users and groups can log into the same studio.

Develop, visualize, debug and optimize analytics and machine learning applications: Studio provides fully managed notebooks based on JupyterLab. It gives you the flexibility to create notebooks independent of clusters. You can attach and detach Notebooks to and from clusters using a single click. You can also provision EMR clusters using...

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Table of Contents (19) Chapters