Consider a situation where you're just about to leave for the day from the office, and at that very moment your boss asks you to run a report on a new, complex dataset. You're asked to finish this report before you leave for the day.
In the past, completing such a report would've taken hours. You would have to first analyze the data, create a schema, and then dump the data before you could execute queries to create the required report.
Now, with the AWS Glue and Athena services, you can get such reports done very quickly and leave for the day on time.
In the previous chapter, we saw how serverless application development can address the challenges of traditional application development. In this chapter, we'll explore the capabilities of AWS Athena. We'll also work with AWS Glue, and learn how to populate the AWS Glue Data Catalog.