Designing ETL queries for Athena
This section highlights workload traits and design considerations that Athena customers sometimes overlook creating ETL pipelines. Many of the items we are about to discuss are not specific to Athena. We'll be sure to note the ones that do stem from idiosyncrasies in the way Athena works. Generally speaking, there are no differences between regular Athena queries and those intended for use in an ETL pipeline. All of the performance suggestions covered in Chapter 2, Introduction to Amazon Athena, apply, and all the same Athena features are applicable across ad hoc analytics, ETL, and other use cases.
Don't forget about performance
Since ETL is not expected to be an interactive process, it allows us to run more time-consuming operations than we might otherwise. Just because ETL is typically viewed as an offline or asynchronous process that doesn't have a human sitting at a screen waiting for a response doesn't mean you can ignore...
