You're reading from Data Engineering with AWS Acquire the skills to design and build AWS-based data transformation pipelines like a pro

Product type Paperback

Published in Oct 2023

Publisher Packt

ISBN-13 9781804614426

Length 636 pages

Edition 2nd Edition

Tools

AWS

Concepts

Data Engineering

Author (1):

Gareth Eagar

View More author details

Table of Contents (24) Chapters

Preface

1. Section 1: AWS Data Engineering Concepts and Trends

2. An Introduction to Data Engineering FREE CHAPTER

3. Data Management Architectures for Analytics

4. The AWS Data Engineer’s Toolkit

5. Data Governance, Security, and Cataloging

6. Section 2: Architecting and Implementing Data Engineering Pipelines and Transformations

7. Architecting Data Engineering Pipelines

8. Ingesting Batch and Streaming Data

9. Transforming Data to Optimize for Analytics

10. Identifying and Enabling Data Consumers

11. A Deeper Dive into Data Marts and Amazon Redshift

12. Orchestrating the Data Pipeline

13. Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning

14. Ad Hoc Queries with Amazon Athena

15. Visualizing Data with Amazon QuickSight

16. Enabling Artificial Intelligence and Machine Learning

17. Section 4: Modern Strategies: Open Table Formats, Data Mesh, DataOps, and Preparing for the Real World

18. Building Transactional Data Lakes

19. Implementing a Data Mesh Strategy

20. Building a Modern Data Platform on AWS

21. Wrapping Up the First Part of Your Learning Journey

22. Other Books You May Enjoy

23. Index

Understanding Amazon QuickSight’s core concepts

At its core, QuickSight lets us ingest data from a wide variety of sources, perform some filtering or other transformation tasks on the data, and then create dashboards with multiple types of visuals that can be easily shared with others, or highly formatted multi-page PDF reports.

The QuickSight service is fully managed by AWS, and there are no upfront costs for using the service. Instead, the service uses a pricing model of a monthly cost per user and offers both Standard and Enterprise editions. To include specific functionality, such as QuickSight Q (for making natural language queries of data), a higher price per user is charged. There is also an option for capacity pricing, where you pay for the number of sessions per month, or per year, instead of per user.

QuickSight also includes a powerful in-memory storage and computation engine to enable the best performance for working with a variety of data sources. In...