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