Data Governance
By combining metadata and data in real-time, data governance is implemented in a comprehensive data management framework for sustainble success.
By combining metadata and data in real-time, data governance is implemented in a comprehensive data management framework for sustainble success.
Data Mesh is a new socio-technical data management paradigm which challenges the traditional monolithic data architectures.
Logical Data Warehouse enables most analytical use cases through integration of real-time and historical data from various sources using SQL.
Organizations highly depend on trusted data to provide great customer experience. Start with customer data integration for a customer 360 view.
Data fabric allows to accelerate and enable more business use cases through metadata, automation, and orchestration.
Data management capabilities incl. Integration, governance, and MDM are a crucial part of any hybrid- and multi-cloud architecture initiative.
A semantic layer provides central access to data and the business logic for self-service BI and data science in a secured and governed manner.