Summary
In this chapter, you learned how to query and visualize data in AWS. You started with learning Amazon Redshift, your Datawarehouse in the cloud, diving deeper into Redshift architecture and learning about its key capabilities. Further, you learned about Amazon Athena, a powerful service that can "convert" any file into a database by allowing us to query and update the contents of that file by using the ubiquitous SQL syntax.
You then learned how we could add some governance to the process by learning about Amazon Athena workgroups and how they can help you to control access to files by adding a level of security to the process. Finally, as you have been learning throughout the book, there is not a single AWS service (or any other tool or product, for that matter) that is a silver bullet to solve all problems. Amazon Athena is no different, so you learned about some scenarios where Amazon Athena is an appropriate solution and other use cases where other AWS services,...
