Serverless Analytics with Amazon Athena: Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure

Virtuoso

Mert Turkay Hocanin

Wishnick

$54.99

4.9 (9 Ratings)

Paperback Nov 2021 438 pages 1st Edition

Virtuoso

Mert Turkay Hocanin

Wishnick

$54.99

4.9 (9 Ratings)

Paperback Nov 2021 438 pages 1st Edition

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Key benefits

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

Description

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.

Who is this book for?

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.

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

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Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$54.99

Machine Learning with Amazon SageMaker Cookbook

$54.99

Total $ 164.97

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Economy: Delivery to most addresses in the U.K. within 7-9 business days.
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Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

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Amazon verified reviews

BeeDee May 14, 2022

There are plenty of useful topics and content within this book. It goes through exploring data from data lakes, data warehouses, and other types of transactional and non transactional data. It provides Amazon Athena serverless analytic methods to produce SQL queries to your structured and un-structured data within your current BI tools. This book can be used as a technical reference to gain valuable insight into your data by using Athena as your main source to truth.

Amazon Verified review

Jai Chhugani Apr 16, 2022

Great reference on how to use Athena to do complex analytics on the cheap.Goes well beyond the reference docs to show how to get things done.Awesome writing that gets into the inside history of how features were built with example code to illustrate usage.

Karthik K May 25, 2022

I really liked that the book gives a simple and concise intro to the topics before diving deep into the technologies.. I am a big fan of cloud-native, managed services and serverless tech, prefer minimal devops.. and find this book catering to my taste. If you are building data analytics, ETL, ML apps on top of AWS native cloud, then this book could be a good reference

Nivas Shankar Jan 06, 2022

I was recommended to this book by a friend of mine. I already had some background on Athena but I still got a lot of value of this book. It was a good blend of on-hands exercises and technical material which kept it interesting throughout the book. The tone of the book differed from chapter to chapter, probably because there are multiple authors. Overall, I would highly recommend this.

AmzeReviewer Dec 13, 2021

Very well written book. Covers all the topics required to make effective use of AWS service.

Serverless Analytics with Amazon Athena: Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure

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