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Learning AWS

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

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787281066
Length 412 pages
Edition 2nd Edition
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Authors (2):
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Amit Shah Amit Shah
Author Profile Icon Amit Shah
Amit Shah
Aurobindo Sarkar Aurobindo Sarkar
Author Profile Icon Aurobindo Sarkar
Aurobindo Sarkar
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Toc

Table of Contents (12) Chapters Close

Preface 1. Cloud 101 – Understanding the Basics FREE CHAPTER 2. Designing Cloud Applications 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 11. Other Books You May Enjoy

Implementing a Big Data Application

In this chapter, we will focus on the hands-on implementation of big data applications using AWS services. More specifically, we will implement typical use cases for ETL, serverless computing, streaming data, and machine learning using AWS services such as Kinesis, EMR, Apache Spark, SageMaker, and Glue.

In this chapter, we will cover the following:

  • Setting up an Amazon Kinesis Stream
  • Creating an AWS Lambda function
  • Using Amazon Kinesis Firehose
  • Using AWS Glue and Amazon Athena
  • Using Amazon SageMaker
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