Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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

Understanding the ad hoc analytics hype

If you are lucky, you may not be aware of the buzzword levels of hype surrounding ad hoc analytics. Fortunately, there are strong fundamentals behind the increasing level of interest and importance placed on having good tooling for ad hoc analytics. In a moment, we'll attempt to form a proper definition of ad hoc analytics, but not before we run a time travel query of our own to set the stage for what we now know as ad hoc analytics.

As a society, we've been collecting data since the advent of commerce. In the era before modern big data technologies, the business intelligence landscape was a very different place. Most data capture and entry was a manual affair, frequently driven by government accounting and auditing requirements. Particularly savvy companies were tracking their own, non-accounting-related Key Performance Indicators (KPIs), but these exercises were often short-lived and targeted at achieving specific outcomes. It...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}