Eight Requirements for the Intelligent Integration Hub


A guide to modernizing, scaling, and governing data solutions


Organizations today are turning to data hubs as part of their overall data management strategy. However, multiple use cases, data types, and functionalities lead to fragmentation and data silos that keep them from using data to its full potential. What’s needed is a unified data management platform that can support and integrate all of your data hubs. "Eight Requirements for the Intelligent Integration Hub" explains why every organization needs a smart automation tool to modernize, scale, and govern data solutions.

  1. How an intelligent integration hub solves data problems and enables new data practices
  2. How to establish a strategy based on the functionality needed for key use areas
  3. The characteristics of a truly modern data hub
  4. How to build the flexible, scalable foundation necessary to support all data and emerging best practices for business end users

  • Publish/subscribe hub for curated data
  • Abstracts out complexity, is more efficient, and ensures all systems get consistent trusted data.

  • Data lakes and traditional systems in sync
  • Better leverage data lakes through automated data processing and storage on Hadoop with your existing data infrastructure.

  • Governed data integration
  • Increase governance and manageability with visibility, monitoring, and alerts across all data workflows, regardless of whether you’re executing in the cloud, on Hadoop, or on traditional systems.

  • Hybrid cloud orchestration
  • Unified management of hybrid workflows speeds data integration across SaaS apps, cloud analytics, big data and on-premises systems.

  • Intuitive self-service user interface
  • Easy-to-use self-service tools facilitate faster access to data, rapid development, increased productivity, and greater team collaboration on data as an enterprise asset.