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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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