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)
Section 1: Fundamentals Of Amazon Athena
Section 2: Building and Connecting to Your Data Lake
Section 3: Using Amazon Athena
Chapter 11: Operational Excellence – Monitoring, Optimization, and Troubleshooting
Section 4: Advanced Topics

Chapter 14: Lake Formation – Advanced Topics

You've reached the final chapter in our journey through Serverless Analytics with Amazon Athena. Some authors like to start each chapter with a thought-provoking quote. The pressure to find good, relevant quotes from well-known people was too much for us, so we opted not to employ that pattern until now. I recently came across a quote from Stephen King that does a great job distilling this chapter:

"Sooner or later, everything old is new."

– Stephen King

You see, many of Lake Formation's "new" features are a reimagining of well-known database technologies from the 70s and 80s but scaled up for modern data lakes. As a Lake Formation launch partner, Athena is often one of the first services to support new Lake Formation features. In this chapter, we will learn about Lake Formation's newest features, including row-level security and a new Amazon S3 table type that supports ACID transactions...