Data Warehouses and Data Lakes

In today’s data-driven society, organizations are constantly seeking methods to manage, process, and extract insights from vast quantities of data. Traditional databases and processing systems often fall short in terms of scalability, flexibility, and performance as data volume, velocity, and variety increase. Various systems and architectures are utilized by businesses for different purposes, ranging from transactional data in databases to big data in cloud storage. You’ll probably come across two main categories of data storage architectures: data lakes and warehouses.

We will delve into these two fundamental components in this chapter. You will discover the underlying ideas that distinguish them, the subtleties of their architecture, and the data flows that occur both inside and between these systems.

In this chapter, we will cover the following topics:

• Exploring data warehouse essentials for data engineers
• Examining...