Gartner describes the data fabric architecture as the means of supporting “frictionless access and sharing of data in a distributed network environment.” To make this architecture work, it is necessary to implement a means to understand and assembly heterogeneous data by providing it with business meaning and flexibly integrating sources of any structural type. These features are characteristic to knowledge graphs which deliver rapid data discovery and integration across distributed computing resources.
The biggest obstacle to enterprises wishing to implement a data fabric, is the investment required for the transformation of existing data assets to suit the new architecture and in the acquisition of organizational skills necessary to create, manage and use this architecture. This is a complex, time consuming, highly disruptive and expensive process with long ROI.
Data virtualization solutions are a viable solution to this challenge but their use is costly because of the continuous maintenance required and because of the lack of relationship-rich semantic capabilities which are key for analytics that make use of dynamic data sources.
The semantic data fabric is a flexible, reusable layer and set of data services used as the single source providing universal meaning and context to data for the entire organization. The data fabric integrates on-premise and cloud data sources in use by the organization, handing them semantic capabilities to provide answers to complex queries and to facilitate understanding and use of data. It provides consistent capabilities across on-premises and multiple cloud environments to accelerate digital transformation. timbr enables the fastest and most convenient implementation of semantic data fabric connected to your cloud and on-premise databases and business intelligence tools. Contact us to schedule a demo.