Exploring data warehouse essentials for data engineers

Data warehouses are the backbone of modern data analytics. They are a combination of intricate architecture, careful data modeling, and effective processes that ensure data is not only stored but is also accessible, consistent, and meaningful. Let’s look at these essentials in the next subsections.

Architecture

It’s similar to knowing the blueprints of a complicated building to comprehend the architecture of a data warehouse. We’ll break down the different layers that comprise a typical data warehouse architecture in this section.

The source layer is where data originates in a data warehouse and is in its original, unmodified state. A variety of data types, including flat files, external APIs, and databases, can be included in this layer. Making sure this layer is both easily and securely accessible for data ingestion is the first task facing you as a data engineer. After being extracted, the data...