Serverless Analytics with Amazon Athena

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.

Type
ebook
Category
Data
publication date
2021-11-19
what you will learn

Secure and manage the cost of querying your data
Use Athena ML and User Defined Functions (UDFs) to add advanced features to your reports
Write your own Athena Connector to integrate with a custom data source
Discover your datasets on S3 using AWS Glue Crawlers
Integrate Amazon Athena into your applications
Setup Identity and Access Management (IAM) policies to limit access to tables and databases in Glue Data Catalog
Add an Amazon SageMaker Notebook to your Athena queries
Get to grips with using Athena for ETL pipelines

no of pages
438
duration
876
key features
Explore the promising capabilities of Amazon Athena and Athena’s Query Federation SDK * Use Athena to prepare data for common machine learning activities * Cover best practices for setting up connectivity between your application and Athena and security considerations
approach
Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, you will begin by setting up and querying your own data lake using Amazon Athena, including queries that span multiple sources like S3 and Elasticsearch.
audience
Business intelligence (BI) analysts, application developers, and system administrators who are looking to generate insights from an ever-growing sea of data while controlling costs and limiting operational burden, will find this book helpful. Basic SQL knowledge is expected to make the most out of this book.
meta description
Get more from your data with Amazon Athena's ease-of-use, interactive performance, and pay-per-query pricing
short description
Serverless Analytics with Amazon Athena covers all the offerings of Athena to help you run interactive queries and analyze large data stored in Amazon S3 using standard SQL. Throughout this book, you’ll learn how to add data-driven insights or ad hoc queries to an application in a cost-effective manner, without needing to manage any infrastructure.
subtitle
Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure
keywords
Serverless, Athena, Amazon Athena
Product ISBN
9781800562349