Book Image

Serverless Analytics with Amazon Athena

By : Anthony Virtuoso, Mert Turkay Hocanin, Aaron Wishnick
Book Image

Serverless Analytics with Amazon Athena

By: Anthony Virtuoso, Mert Turkay Hocanin, Aaron Wishnick

Overview of this book

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using SQL, without needing to manage any infrastructure. This book begins with an overview of the serverless analytics experience offered by Athena and teaches you how to build and tune an S3 Data Lake using Athena, including how to structure your tables using open-source file formats like Parquet. You’ll learn how to build, secure, and connect to a data lake with Athena and Lake Formation. Next, you’ll cover key tasks such as ad hoc data analysis, working with ETL pipelines, monitoring and alerting KPI breaches using CloudWatch Metrics, running customizable connectors with AWS Lambda, and more. Moving on, you’ll work through easy integrations, troubleshooting and tuning common Athena issues, and the most common reasons for query failure. You will also review tips to help diagnose and correct failing queries in your pursuit of operational excellence. Finally, you’ll explore advanced concepts such as Athena Query Federation and Athena ML to generate powerful insights without needing to touch a single server. By the end of this book, you’ll be able to build and use a data lake with Amazon Athena to add data-driven features to your app and perform the kind of ad hoc data analysis that often precedes many of today’s ML modeling exercises.
Table of Contents (20 chapters)
1
Section 1: Fundamentals Of Amazon Athena
5
Section 2: Building and Connecting to Your Data Lake
9
Section 3: Using Amazon Athena
14
Chapter 11: Operational Excellence – Monitoring, Optimization, and Troubleshooting
15
Section 4: Advanced Topics

Using Athena's APIs

As an introduction to Athena's APIs, we will demonstrate how to run basic geospatial queries with Athena using the AWS CLI. The AWS CLI provides a simple wrapper over each of the APIs supported by Athena. This allows us to get familiar with the APIs without having to make any choices about programming language. The APIs we use in this section are available in all supported languages such as Java, Golang, and Rust. Now that we've got a better understanding of the basic Athena concepts, we'll also use a slightly more advanced example dataset that will give us a chance to experiment with Athena's geospatial capabilities.

Use Athena engine version 2 or later

In case you skipped the instructions in the previous section pertaining to the creation of a new workgroup with Athena engine version 2, please take a moment to either switch to that workgroup now or change your current workgroup to explicitly use Athena engine version 2 or later...