The definition of a well-designed, stable & scalable data architecture has changed due to the increasing complexity & volume of a modern system landscape. To keep up with the latest technology, this session will provide an overview of the components of a modern data architecture. By outlining the benefits of a well-designed & structured data architecture, this session will provide clear guidelines for the current data management challenges in the area of technology, processes & organization.

Target Audience: Decision Maker, CTO, CIO, Head of BI, Data Engineer, IT
Prerequisites: Basic knowledge in technical architecture & data management
Level: Basic

Extended Abstract:
The goal of a modern data architecture is to provide organizations with the ability to effectively manage and utilize their data in a manner that supports their business goals and objectives. This session will focus on two arising modern data architectures: Data Mesh & Data Fabric.

Data Mesh is a decentralized approach to data management that focuses on empowering teams to own and manage their own data. In a data mesh architecture, data is managed by a set of microservices, each of which is responsible for a specific set of data. This approach allows teams to work with their data in a more flexible and autonomous manner, while still maintaining a high level of data governance and security.

Data Fabric refers to a unified data architecture that enables data to be accessible and usable across different systems, applications, and teams. It is a flexible and scalable solution that helps to overcome data silos and enables a single view of data across an organization. A data fabric is designed to adapt to changing data needs over time and to provide a seamless solution for data management and processing.