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Serverless Analytics with Amazon Athena

You're reading from Serverless Analytics with Amazon Athena Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure

Product type Paperback

Published in Nov 2021

Publisher Packt

ISBN-13 9781800562349

Length 438 pages

Edition 1st Edition

Languages

Python

Tools

Amazon Athena

Concepts

Data Processing

Authors (3):

Aaron Wishnick

Mert Turkay Hocanin

Anthony Virtuoso

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: Fundamentals Of Amazon Athena

2. Chapter 1: Your First Query FREE CHAPTER

3. Chapter 2: Introduction to Amazon Athena

4. Chapter 3: Key Features, Query Types, and Functions

5. Section 2: Building and Connecting to Your Data Lake

6. Chapter 4: Metastores, Data Sources, and Data Lakes

7. Chapter 5: Securing Your Data

8. Chapter 6: AWS Glue and AWS Lake Formation

9. Section 3: Using Amazon Athena

10. Chapter 7: Ad Hoc Analytics

11. Chapter 8: Querying Unstructured and Semi-Structured Data

12. Chapter 9: Serverless ETL Pipelines

13. Chapter 10: Building Applications with Amazon Athena

14. Chapter 11: Operational Excellence – Monitoring, Optimization, and Troubleshooting

Technical requirements

15. Section 4: Advanced Topics

16. Chapter 12: Athena Query Federation

17. Chapter 13: Athena UDFs and ML

18. Chapter 14: Lake Formation – Advanced Topics

19. Other Books You May Enjoy

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...

The rest of the chapter is locked

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Authors (3)

Virtuoso

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.

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Wishnick

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.

See other products by Wishnick

Mert Turkay Hocanin

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.

See other products by Mert Turkay Hocanin

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