You're reading from Serverless Analytics with Amazon Athena

Product typeBook

Published inNov 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800562349

Edition1st Edition

Languages

Python

Tools

Amazon Athena

Concepts

Data Processing

Authors (3):

Anthony Virtuoso

Mert Turkay Hocanin

Aaron Wishnick

View More author details

Getting to know Amazon Athena

In Chapter 1, Your First Query, we learned that Amazon Athena is a query service that allows you to run standard SQL over data stored in various sources and formats. We also saw that Athena's pricing model is unique in that we are charged by how much data our query reads and not by how many servers or how much time our queries require. In this section, we will go beyond that cursory introduction and discuss the broader set of capabilities that together make Athena a product worth considering for your next analytics project. We do not go into full detail on every item we are preparing to discuss, but later chapters will allow you to get hands-on with the most notable features. For now, our goal is to increase your awareness of what is possible with Athena, so you can perform technical product selection exercises (aka bakeoffs) or steer toward areas of interest.

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Serverless Analytics with Amazon Athena

Published in: Nov 2021Publisher: PacktISBN-13: 9781800562349

Authors (3)

Anthony Virtuoso

Anthony Virtuoso works as a Principal Engineer at Amazon and holds multiple patents in distributed systems, software defined networks, and security. In his eight years at Amazon, he has helped launch several Amazon Web Services, the most recent of which was Amazon Managed Blockchain. As one of the original authors of Athena Query Federation, you'll often find him lurking on the Athena Federation GitHub repository answering questions and shipping bug fixes. When not at work, Anthony obsesses over a different set of customers, namely his wife and two little boys, aged 2 and 5. His kids enjoy doing science experiments with dad, like 3D printing toys, building with Lego, or searching the local pond for tardigrades.
Read more about Anthony Virtuoso

Mert Turkay Hocanin

Mert Turkay Hocanin is a Principal Big Data Architect at Amazon Web Services within the AWS Glue and AWS Lake Formation services and has previously worked for several other services including Amazon Athena, Amazon EMR, Amazon Managed Blockchain. During his time at AWS, he worked with several Fortune 500 companies on some of the largest data lakes in the world and was involved with the launching of three Amazon Web Services. Prior to being a Big Data Architect, he was a Senior Software Developer within Amazon's retail systems organization building one of the earliest data lakes in the company in 2013. When he is not helping customers build data lakes, he enjoys spending time with his wife-Subrina, son-Tristan, and exploring New York City.
Read more about Mert Turkay Hocanin

Aaron Wishnick

Aaron Wishnick works as a Senior Software Engineer at Amazon, where he has been for 7 years. During that time he has worked on Amazon's payment systems, financial intelligence systems, as well as working for AWS on Athena and AWS Proton. When not at work, Aaron and his fiance, Alyssa, are on a quest to determine just how much dog fur is too much, with their husky and malamute, Mina and Wally.
Read more about Aaron Wishnick

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Getting to know Amazon Athena

Understanding the "serverless" trend

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