Data architectures
It’s critical to comprehend the significance of data architectures as we go further into the field of data storage. The designs for organizing, storing, and managing data within a company are known as data architectures. They assist in ensuring that data is effectively kept, readily available, and well-integrated across numerous systems. We will introduce data architectures in this section and go through the significance of logical and physical layer separation, as well as the value of data modeling.
Let’s start by defining the distinction between data architectures and data storage technologies. The foundational technologies that are used to store and manage data include data lakes, data warehouses, and object storage. However, the structure, organization, distribution, and design principles that control how data is stored, retrieved, and modified within those systems are provided by data architectures.
