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

Visualizing Data with Amazon QuickSight

In Chapter 11, Ad Hoc Queries with Amazon Athena, we looked at how Amazon Athena enables data analysts to run ad hoc queries against data in the data lake using the power of SQL and Spark. And while this is an extremely powerful tool for querying large datasets, often, the quickest way to understand a summary of a dataset is to visualize the data in graphs and dashboards.

In this chapter, we will do a deeper dive into Amazon QuickSight, a business intelligence (BI) tool that enables the creation of rich visualizations that summarize data, with the ability to filter and drill down into datasets in numerous ways. In addition, QuickSight also enables the creation of formatted, multi-page reports, and brings advanced functionality, such as the ability to ask questions of data in natural language.

In smaller organizations, a data engineer may be tasked with setting up and configuring a BI tool that data consumers can use. Things may be different...