Book Image

Data Engineering with AWS

By : Gareth Eagar
Book Image

Data Engineering with AWS

By: Gareth Eagar

Overview of this book

Written by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS. As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data. By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.
Table of Contents (19 chapters)
1
Section 1: AWS Data Engineering Concepts and Trends
6
Section 2: Architecting and Implementing Data Lakes and Data Lake Houses
13
Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning

Hands-on – creating a simple QuickSight visualization

Earlier in this chapter, we discussed how data can be represented over a geographic area. We used the example of data containing information on the population of world cities, and how we could use that to easily visualize how large cities are geographically distributed. The example visual in Figure 12.2 showed cities with a population of over 3 million people, displayed on top of a map of the world.

For the hands-on section of this chapter, we are going to recreate that visual using Amazon QuickSight.

Setting up a new QuickSight account and loading a dataset

Before we start creating a new dashboard, we need to download a sample dataset of world city populations. We are going to use the basic dataset available from https://simplemaps.com/, which is freely distributed under the Creative Commons Attribution 4.0 license (https://creativecommons.org/licenses/by/4.0/):

  1. Use the following link to download the...