You're reading from Data Engineering with AWS - Second Edition

Product type Book

Published in Oct 2023

Publisher Packt

ISBN-13 9781804614426

Pages 636 pages

Edition 2nd Edition

Languages

Concepts

Data Engineering

Author (1):

Gareth Eagar

Table of Contents (24) Chapters

Preface

1. Section 1: AWS Data Engineering Concepts and Trends

2. An Introduction to Data Engineering

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

Creating and sharing visuals with QuickSight analyses and dashboards

Once a dataset has been imported (and optionally transformed), you can create visualizations of this data using QuickSight analyses. This is the tool that is used by QuickSight authors to create new dashboards, with these dashboards containing one or more visualizations that can be shared with others in the business.

When you create a new analysis/dashboard, you choose one or more datasets to include in the analysis (up to a maximum of 50 datasets per dashboard). Each analysis consists of one or more sheets (or tabs, much like browser tabs) that display a group of visualizations. You can have up to 20 sheets (tabs) per dashboard, and each sheet can have up to 30 visualizations.

Once you have created an analysis (consisting of multiple visuals, optionally across multiple sheets), you can choose to publish the analysis as a dashboard. When you’re publishing a dashboard, you can select various parameters...