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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
Authors (3):
Anthony Virtuoso Anthony Virtuoso
Profile icon Anthony Virtuoso
Mert Turkay Hocanin Mert Turkay Hocanin
Profile icon Mert Turkay Hocanin
Aaron Wishnick Aaron Wishnick
Profile icon 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 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

Determining when to use Amazon Athena

There is no one answer to this question. There are use cases for which Athena is ideally suited and situations where other tools would be a better choice. Most potential applications of Athena lie in the gradient between these two extremes. This section will describe several common and recommended usages of Athena to help you decide when the right time is for you to use Athena.

Ad hoc analytics

We might as well kick off this discussion with one of Athena's greatest hits – ad hoc analytics. Many customers first notice Athena for its ease of use and flexibility, two key features when you suddenly need to have an unplanned conversation with your data. We saw this firsthand in Chapter 1, Your First Query, when it took us just a few minutes to load up the NYC Taxi trip dataset and start finding relevant business insights. Ad hoc analytics can be used to describe unplanned queries, reports, or research into your data for which a pre...

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