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New Research: Implementing the Data Hub: Architecture and Technology Choices

by Andrew White  |  February 7, 2017  |  Comments Off on New Research: Implementing the Data Hub: Architecture and Technology Choices

Ted Firedman and I just published Implementing the Data Hub: Architecture and Technology Choices.

Hub architectures for sharing data can be implemented in many ways, with various types of integration technology. Data and analytics leaders and data architects need to understand the common and effective technology choices in order to successfully deliver on the organization’s data hub strategy.

I am very excited with this note as it heralds, I think, a new wave in thinking that seeks to connect a number of as yet disconnected ideas such as master data management, logical data warehouse, data lake, data warehousing, application data and its management, information (data and analytics) governance and more.  We cannot wait for your feedback!

While you can “rate” this note online, please do send specific feedback to the author as well. We crave direct feedback on how to improve our work. Thanks.

This note is the “sister” note for one Ted and I published last week:

Enjoy!

Category: data-hub-strategy  data-integration  gartner-research  information-governance  

Andrew White
Research VP
8 years at Gartner
22 years IT industry

Andrew White is a research vice president and agenda manager for MDM and Analytics at Gartner. His main research focus is master data management (MDM) and the drill-down topic of creating the "single view of the product" using MDM of product data. He was co-chair… Read Full Bio




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