Chapter 1: Introducing the AWS Analytics Ecosystem
As data increases in both volume and variety, organizations from all verticals are adopting cloud analytics services for their data analytics. AWS offers a number of analytics services covering data lakes, data warehousing, big data processing, extract, transform, load (ETL), and data visualization. In this chapter, we will introduce the AWS analytics ecosystem. Some of the services we discuss here will be mentioned again later in the book.
First, we will map the AWS services into categories. Then, we will discuss how Amazon QuickSight fits into the wider AWS analytics ecosystem. We will look more closely at a modern Lake House architecture and we will discuss its benefits and its components. Finally, we will provide a step-by-step guide to set up a data Lake House architecture on AWS and load and query a demo data sample. Some of this information may already be familiar to you, but let's go back over the basics.
In this chapter, we will cover the following topics:
- Discovering the AWS analytics ecosystem
- Exploring the data Lake House architecture on AWS
- Creating a basic Lake House architecture
