Organizations often experience challenges in providing data services when their architecture is tightly coupled. With these systems, it is difficult to provide fresh, accurate data for the digital applications that drive the business. Approaches such as data virtualization and API management can assist but have a number of limitations.  

An operational data hub decouples digital applications from the SoRs, and using event-driven architecture, integrates data from multiple sources into an ultra-low-latency, high-performance data fabric. This limits the latency of the API services layer, and dramatically increases throughput and scalability. 

Download the Operational Data Hub Handbook to understand how to implement this Hub, either build your own or buy off the shelf. This guide details the advantages and disadvantages of both approaches, examining the short-term and long-term considerations, and the components and integrations involved in setting up this architecture. 

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