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This article explains the main data hub concepts, its architecture, and how it differs from data warehouses and data lakes. We’ll also analyze some of the data hub products existing in the market to explore how this technology works and what it actually can do.
A Data Hub enables data sharing by connecting producers of data with consumers of data. Endpoints interact with the Data Hub by providing data into it or receiving data from it, and the hub provides a mediation and management point, making visible how data flows across the enterprise [2].
A Data Hub is innovative architecture that streamline data integration, serves as a vital intermediary between data producers and data consumers, providing a centralised point for the...
Many data-architecture leaders have pivoted from a central enterprise data lake toward “domain-driven” designs that can be customized and “fit for purpose” to improve time to market of new data products and services.
DataHub is a 3rd generation data catalog that enables Data Discovery, Collaboration, Governance, and end-to-end Observability that is built for the Modern Data Stack. DataHub employs a model-first philosophy, with a focus on unlocking interoperability between disparate tools & systems.
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.
Transformed, structured and other profile data from Azure Databricks is written to Synapse dedicated SQL pool, and Azure Cosmos DB as needed. The workspace was deployed within its managed VNET. Secure access via Synapse Studio is ensured via Synapse private link hub and private endpoint.
What is a data hub? How does it simplify data integration and help get data ready for operational, transactional, analytical and AI workloads? In this comprehensive guide for enterprise architects, we take a deep dive into the past, present and future of data integration.
Get Familiar With the Various Types of Data Hubs; Choose the Most Appropriate Data Hub Architecture by Mapping the Characteristics of Each Type Against Your Requirements; Evaluate Vendor Offerings to Determine Their Role in Your Specific Data Hub Architecture and Use-Case Requirements
The data hub architecture is a comprehensive framework designed to streamline data management, integration, governance, and analytics within an organization. It serves as a centralized platform for ingesting, storing, processing, and distributing data from disparate sources.