Is 2017 the Year of the Data Hub?

data hubData hubs are catching a wave recently as the hub approach to data management builds momentum in the industry.

Informatica listens closely to its customers and invests in innovation to solve emerging data challenges—hopefully right when the market is ready. We saw that the challenges of traditional project-based point-to-point data integration were growing with the explosion of cloud, big data and new analytics systems and invested in a modern approach to data integration that can combine data governance and sharing via self-service. The momentum in the industry and our customer base validates the emergence of the hub as the modern approach to data management.

Gartner, in a recent report, noted:

“The growing complexity of digital business drives an assumption that data should be collected centrally or connected in a distributed fashion. Current data and analytics strategies are falling short of business requirements, thus organizations need to look into alternative approaches such as a data hub.”

Further, Gartner in another report said:

“The data hub is an architecture that helps determine effective mediation of semantics (governance and sharing, for example), and efficient data integration strategies, across applications, IoT networks, enterprises and ecosystems. Gartner client inquiries about data hub strategies and approaches increased by 52% in 2016 over 2015.”

How “hot” are data hubs? Gartner recently published two reports on data hubs, issued a blog, held a webinar, and gave a presentation at the March 2017 Gartner Data & Analytics Summit in Grapevine, Texas on the subject. In addition to the great customer momentum Informatica has seen for our hubs, we believe this is great validation of the hub approach to data management and the investments in Data Integration Hub that began more than five years ago.

A data integration hub can accelerate the journeys to the cloud of organizations that embrace them by providing a unified data infrastructure to connect multiple clouds and SaaS apps with existing on-premises systems and big data.  This unification enhances governance of data flowing across systems and provides more consistent access to data for analytics and operations.  Instead of new silos and further fragmentation, connect everything through a managed data integration hub.

Beyond the generic “data hub” benefits cited by Gartner, Informatica Data Integration Hub uniquely delivers:

  • A proven data hub product in production at numerous Global Fortune 500 organizations around the world
  • Publish/subscribe hub optimized for data that handles any size and type of data processing
  • Data delivery at mixed latencies – from near real-time to scheduled batch delivery of fresh data to all systems when they need it
  • Wizards for self-service subscription to curated data publications by distributed teams to reduce waiting in IT queues and better business-IT collaboration
  • Hybrid data integration orchestration across multiple clouds, big data and existing systems through a governed hub
  • Data Integration Hub overcomes the seams typically between data management systems by orchestrating data processing for the cloud, big data, data quality, master data management, data as a service, advanced transformations, and masking to create and distribute curated data publications
  • Automated hub repository data management with configurable retention periods
  • Ability to unify connectivity and data processing to bring together data from any enterprise system or in any format that any Informatica product can use
  • Unified visualization of data relationships, monitoring and alerting across the entire system for improved governance

Subscribers can access Gartner’s data hub reports and obtain Gartner’s perspective. If you are interested in learning about how Informatica Data Integration Hub can power your digital transformation projects with a modern data backbone, there is a replay of a recent webinar covering what’s new in Data Integration Hub 10.2 as well as PowerCenter, Enterprise Data Catalog and Data Quality that you can register for here:

Overview & Demo: PowerCenter, Data Quality, and Data Integration Hub 10.2 Unveiled

Sources:

  1. Gartner, Inc., “Use a Data Hub Strategy to Meet Your Data and Analytics Governance and Sharing Requirements,” Andrew White, Ted Friedman, February 2, 2017.
  1. Gartner, Inc., “Implementing the Data Hub: Architecture and Technology Choices,” Ted Friedman, Andrew White, February 6, 2017.
  1. Gartner, Inc. Webinar, “To Hub or Not To Hub: That is the Data Question, “ Andrew White, January 19, 2017.
  1. Gartner, Inc., “New Research: Implementing the Data Hub: Architecture and Technology Choices,” Andrew White, February 7, 2017.
  1. Gartner, Inc., “Data Hubs: Strategic Architecture for Data Sharing.” Andrew White, March 9, 2017, Gartner Data & Analytics Summit Grapevine, Texas.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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