![]() To get started with this AWS Glue exercise, take the following steps: The following illustration shows the AWS Glue components and the architecture of the exercise. ![]() Many customers just want to easily query their data without worrying about running and managing clusters, and Amazon Athena helps accomplish this. Amazon Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. The transformed data that AWS Glue loads into S3 becomes a source for building your data lake, which you can query using Amazon Athena.Īmazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. This simple transformation shows a typical scenario of taking data from a source, transforming it externally, and storing it for analytic processing to gain business insights. For the purposes of this blog post, we use a simple transformation. With an AWS Glue job, you can also write complex data transformations.
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