Analyzing Data with Amazon Athena

Difficulty: Intermediate

Duration: 2 minutes and 32 seconds

Students: 4,316

Rating: 4.7/5

Please note: this lesson has been removed from our training library and replaced with a new one here: Analyzing Data With Amazon Athena

In this lesson, we will perform an in-depth review of the Amazon Athena service. We will review and explain fundamental AWS Athena storage and querying concepts, highlighting the suitable use cases in which Athena can be applied effectively.

You will be introduced to the basic underlying technology that Athena has been built on, and we spend time discussing the process of creating and setting up Athena databases, tables, and partitions. We examine the process in which Athena SQL queries are authored and how they are managed. We review current Athena limitations and pricing.

Finally, we will provide a demonstration in which we publish CloudTrail logs into an S3 bucket. We'll make some ad-hoc security group changes to generate a few CloudTrail events before finally using Athena to search and find the captured security group API update calls.

If you have any feedback relating to this lesson, feel free to contact us support@cloudacademy.com.

Learning Objectives

Get a basic understanding of Amazon Athena and the process of creating Athena databases, tables, and partitions
Manage and author Athena SQL queries
Understand the pricing and limitations of Athena
Publish and query CloudTrail logs using Athena SQL queries

Intended Audience

This lesson is intended for IT professionals or anyone interested in using the Amazon Athena service for their data storage needs.

Prerequisites

To get the most out of this lesson, you should have an understanding of big data and analytical concepts, the Amazon Simple Storage Service, and SQL.