Data Architecture

Data architecture is the backbone of a data-centric organization. It refers to the way data is structured, stored, organized, and used within an organization. It involves designing a logical framework for data management that ensures data accuracy, consistency, availability, and security.

A well-designed data architecture enables organizations to efficiently collect, store, process, and analyze large volumes of data. The architecture includes systems, applications, processes, policies, and standards that govern how data is accessed and managed across the organization. The ultimate goal of data architecture is to create a structured framework for data that enables organizations to make informed decisions based on accurate and reliable information.

In this lesson you will learn the coherence and differences between a data architecture, data modeling, and data flows and how the ensemble will support your data driven business approach.