‫So now let's talk about Amazon Athena.
‫Amazon Athena is a serverless query service
‫to perform analytics against your objects
‫stored in Amazon S3.
‫So the idea is that you would use the SQL query language to
‫create these files, but you don't need to load them.
‫They just need to be in S3 and Athena will do the rest.
‫So these files can be formatted in different ways,
‫such as CSV, JSON, ORC, Avro, and Parquet
‫and the Athena is built on the Presto engine,
‫if you must know.
‫Now, how does it work?
‫So users will load it into Amazon S3,
‫and then Amazon Athena will be used
‫to query and analyze the data.
‫Very, very simple.
‫And then if you wanted to,
‫you could have some reporting on top of Athena,
‫such as using Amazon QuickSight.
‫Now the pricing for Athena is around
‫$5 per terabyte of data scanned.
‫And if you use compressed
‫or data stored in a columnar fashion,
‫then you're going to have cost savings
‫because there is less scan of the data being made.
‫So the use cases of Athena are multiple,
‫but anytime you see Business intelligence,
‫analytics, or reporting,
‫or to analyze Flow Logs in VPC or ELB Logs,
‫or CloudTrail logs, or platform logs,
‫all these kinds of logs in AWS,
‫then Athena's going to be a really, really good option.
‫So from an exam perspective,
‫whenever you see serverless analyze data in S3
‫use SQL, then think Amazon Athena.
‫That's it.
‫I hope you liked it.
‫And I will see you in the next lecture.