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

Writing a new UDF

So, now that we've gotten a bit of an idea of what UDFs are and when we might want to use them, let's go ahead and create one.

Setting up your development environment

To write a new UDF or modify an existing UDF, we'll need the ability to build, test, and package the code. So, our first task is to ensure we have a development environment with the appropriate builder tools. These tools will include Apache Maven, the AWS CLI, and the AWS Serverless Application Model (SAM) build tool. The Apache Foundation describes Maven as a "software project management and comprehension tool." That's a fancy way of saying Maven helps automate dependency management, build orchestration, and a host of related activities that can be added or augmented via plugins. The AWS SAM build tool is one option for packaging and deploying our UDF for use with Lambda and Serverless Application Repository. And, of course, the AWS CLI will be there for when we...