A framework for a dynamic and holistic approach to data management called data fabric is increasingly catching attention. The ultimate goal of this relatively new concept is to gain actionable insights with minimal efforts supported by workflow automations and AI-based recommendations. The integrative data landscape in a data fabric embraces hybrid- and/or multi-cloud architectures to improve data visibility and insights. Further essential components of a data fabric are data protection and security, data catalog, data preparation, data governance, and data modelling. With this comprehensive approach, organizations gain the flexibility for a multitude of use cases.
By combining the two technologies, data virtualization and automated ETL, and putting a uniform metadata layer on top of them, the Data Virtuality Logical Data Warehouse enables exactly the dynamic and holistic data management architecture needed to transform the data fabric from a concept to reality.
ARCHITECTURE OF A DATA FABRIC WITH THE LOGICAL DATA WAREHOUSE