data architecture

What is data architecture?

Data architecture forms the backbone of every data-driven company. It aims to use and manage data efficiently. It also forms the basis for effective data management with business intelligence (BI) and analytics. It relates to the process of standardization, i.e. how data is collected, stored, integrated, transformed and used in a company. Modern data architectures enable fast and more efficient data delivery and avoid complicated search and query processes.

What does a data architect do?

Data architects are responsible for setting up and coordinating a data architecture. They develop the design, structure or further development of a holistic data architecture and transfer business needs into technical requirements.

Benefits of a data architecture

A modern data architecture brings many benefits to a company. We have listed the most important ones for you:

Characteristics of an effective data architecture

Data architecture and modern data management concepts

The data architecture is not isolated, but closely linked to data management concepts such as: Data Warehouse, Data Lake, Data Lakehouse, Data Mesh or Data Fabric. The choice of the right technologies and concepts depends on the requirements and goals of a company. In this way, a robust and scalable data architecture can be created.

Data architecture is more than just a concept

A modern data architecture is the framework for managing data. It is a decisive factor for a company's success and forms the basis for effective data management. It determines how data is collected, stored, integrated, transformed and used. Competent data architects can translate requirements from various business areas into data and systems. In combination with cloud systems, decisions can be made even faster and more intelligently with your company data. In this way, companies gain an enormous competitive advantage.