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 Elastic Map Reduce (EMR)

AWS launched the first version of EMR in 2009, which provides the ability to process petabyte-scale data using the latest open-source big data frameworks such as Spark, Hive, Presto, HBase, Flink, and Hudi in the cloud. Amazon EMR is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark, on the AWS cloud to process and analyze vast amounts of data. It is a wrapper around distributed open-source distributed computing frameworks. This wrapper abstracts the effort required to set up infrastructure, security, Network communication, disaster recovery and scalability. Additionally, EMR offers 100% compliance with open-source APIs. So, you do not need to change your application code when you move to EMR from the on-premise Hadoop system.

EMR runs directly against the data stored in your S3 data lake, so you don’t need to move that data or transform your data. With EMR, you can easily create clusters...

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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

Table of Contents (19) Chapters

Amazon Elastic Map Reduce (EMR)

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Authors (4)

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