Data Fabric Architecture is Key to Modernizing Data Management and Integration

Data management agility has become a mission-critical priority for organizations in an increasingly diverse, distributed, and complex environment. "The emerging design concept called "data fabric" can be a robust solution to ever-present data management challenges, such as the high-cost and low-value data integration cycles, frequent maintenance of earlier integrations, the rising demand for real-time and event-driven data sharing and more," says Mark Beyer, Distinguished VP Analyst at Gartner. Gartner defines data fabric as a design concept that serves as an integrated layer (fabric) of data and connecting processes. A data fabric utilizes continuous analytics over existing, discoverable and inferenced metadata assets to support the design, deployment and utilization of integrated and reusable data across all environments, including hybrid and multi-cloud platforms. Data fabric leverages both human and machine capabilities to access data in place or support its consolidation where appropriate. It continuously identifies and connects data from disparate applications to discover unique, business-relevant relationships between the available data points.