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Learning AWS

You're reading from Learning AWS Design, build, and deploy responsive applications using AWS Cloud components

Product type Paperback

Published in Feb 2018

Publisher Packt

ISBN-13 9781787281066

Length 412 pages

Edition 2nd Edition

Tools

AWS

Concepts

Cloud Computing

Authors (2):

Sarkar

Shah

View More author details

Table of Contents (16) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Cloud 101 – Understanding the Basics

2. Designing Cloud Applications FREE CHAPTER

3. Introducing AWS Components

4. Designing for and Implementing Scalability

5. Designing for and Implementing High Availability

6. Designing for and Implementing Security

7. Deploying to Production and Going Live

8. Designing a Big Data Application

9. Implementing a Big Data Application

10. Deploying a Big Data System

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Index

Security overview for big data applications

In this section, we will shift our focus to AWS big data application security features. More specifically, we will discuss the features and options for securing EMR clusters and serverless applications.

Securing the EMR cluster

In this section, we provide a quick overview of EMR security, including encryption, authentication, and authorization.

Encryption

EMR supports end-to-end encryption for a variety of different frameworks. You can configure all this in a couple of clicks. You can do S3 server-side or client-side encryption, encrypt all the local disks of your cluster so any executor spills or HDFS blocks getting written get encrypted on the local disk filesystem. You can also encrypt Spark, Tez, MapReduce, HBase, Hive, Presto, and Pig for all the data blocks in flight.

Note

For more details on encrypting data-at-rest and data-in-transit, refer to AWS documentation: https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-data-encryption.html...

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Authors (2)

Sarkar

Sarkar

Aurobindo Sarkar leads a team of data scientists and engineers at Session AI, developing cloud-based ML models for in-session marketing in e-commerce and retail. As a former CTO at multiple SaaS startups, he has architected secure, scalable, and highly available AWS cloud applications. His research interests now focus on AWS-based large-scale transformer models for NLP and HFT models for the futures and options market. Aurobindo holds a bachelor's degree in engineering from IIT Delhi, a master's in management from the Indian Institute of Science Bangalore, and a master's in computer science from New York University.

See other products by Sarkar

Shah

Shah

Amit Shah has a bachelor's degree in electronics. He is a director at Global Eagle. He has been programming since the early '80s, the first wave of personal computinginitially as a hobbyist and then as a professional. His areas of interest include embedded systems, IoT, analog, and digital hardware design, systems programming, cloud computing, and enterprise architecture. He has been working extensively in the fields of cloud computing and enterprise architecture for the past 7 years.

See other products by Shah

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