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Serverless Analytics with Amazon Athena

You're reading from Serverless Analytics with Amazon Athena

Product type Book

Published in Nov 2021

Publisher Packt

ISBN-13 9781800562349

Pages 438 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Authors (3):

Anthony Virtuoso

Mert Turkay Hocanin

Aaron Wishnick

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: Fundamentals Of Amazon Athena

2. Chapter 1: Your First Query

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

Running approximate queries

In Chapter 1, Your First Query, we used TABLESAMPLE to run a query that allowed us to get familiar with our data by viewing an evenly distributed sampling of rows from across the entire table. TABLESAMPLE enables you to approximate the results of any query by sampling the underlying data. Athena also supports more targeted forms of approximation that offer bounded error. For example, the approx_distinct function should produce results with a standard error of 2.3% but completes its execution 97% faster while also using less peak memory than its completely accurate counterpart, COUNT(DISTINCT x). We'll learn more about these and several other approximate query tools by exploring our NYC taxi ride tables.

TABLESAMPLE is a somewhat generic technique for running approximate queries. Unlike the other methods we discuss in this section, TABLESAMPLE works by sampling the input data. This allows you to use it in conjunction with any other SQL features supported...

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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.

See other products by 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.

See other products by 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.

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