Data-driven systems are the engine of data-driven value creation.
Designing data-driven systems requires significant technical expertise in conjunction with a deep understanding of the methodical requirements of data-driven value creation.
Key techniques of domain-driven design, self-serve-platform design and product thinking are applied throughout all aspects of data usage. This leads to modern data architectures tailor-made for data-driven value creation.
All technical aspects concerning the optimal loading, processing, organizing, storing and provisioning of data in data-driven systems of various sizes are covered.
Modern data-mesh architectures create flexible, collaborative and distributed eco-systems of data. These systems are the basis for creating and using different data products optimally.