Put an end to the point-to-point, hard-
wired interfaces used for data sharing.
Provision data in real time to fuel both operational and analytical workloads.
Enforce data quality, security, privacy,
and accessibility policies, centrally.
Data hub architecture enables the seamless flow and governance of data, between producers and consumers.
Commonly used to manage master data for business entities of interest (e.g., Customer 360, Product 360, Location 360, etc.), a data hub is increasingly used to manage transaction and interaction data, for a complete 360 view of business entities.
A data hub is an architectural pattern used for data integration, data governance, and data delivery – typically for operational use cases, at enterprise scale.
Data producers and consumers connect with each other in the framework of common governance controls, for optimized data sharing.
Data hub architectures are generally used to support operational workloads, such as streaming data to consuming applications (e.g., integrating customer data to a cloud-based CRM application), and allow for in-flight data orchestration, transformation, persistence, as well as a range of data integration and delivery styles.
Data hubs drive real-time operations, with continuous bi-directional data movement between source and target systems.
Data transformation, enrichment, preparation, and delivery are performed in-flight, in milliseconds, across the architecture.
A data product approach unifies and stores each instance of a business entity in its own Micro-Database, to deliver a trusted 360 customer view.
Data hubs orchestrate data flows to unify, transform, and enrich data, for seamless sharing of data between data producers and consumers.
Powered by patented Micro-Database™ technology, the K2view Data Product Platform deploys in a data hub architecture, to provide real-time data management capabilities – from integration and preparation, through orchestration and governance, to masking and delivery.
Garner 2021 Strategic Planning Assumption
K2View Data Product Platform empowers data teams to create and deliver data products, quickly and easily, to fuel operational and analytical workloads.
