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New Research: Web-scale IT and Enterprise Metadata Management

by Andrew White  |  September 19, 2016  |  1 Comment

My colleague, Nick Heudecker, just published Building Responsive Data Management for Web-Scale IT.

Web-scale IT requires new models of development and deployment, which must be supported by data management practices that adapt to uncertain and changing conditions. Data management leaders must create and support continually evolving information infrastructure to meet the needs of web-scale IT.

This exciting research looks at the most demanding side of scale and how IT needs to accommodate it in data management.

My colleague, Guido De Simoni, just published Key Recommendations for Implementing Enterprise Metadata Management Across the Organization.

Enterprise metadata management is a critical part of enterprise information management delivery, a key enabler for validating data used in decision making, analytics, compliance, and even data monetization. Data and analytics leaders should consider the recommendations below when implementing EMM.

EMM is not “regular metadata management” which takes place in situ, or per silo/project.  EMM is what is needed to govern shared metadata between projects and systems; EMM is needed to instantiate and realize your goals of enterprise information management.

Enjoy!

 

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Category: enterprise-information-management  enterprise-information-management-eim  enterprise-metadata-management  gartner-research  web-scale-it  

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

Andrew White is a Distinguished Analyst and VP. His roles include Chief of Research and Content Lead for Data and Analytics. His main research focus is data and analytics strategy, platforms, and governance. Read Full Bio


Thoughts on New Research: Web-scale IT and Enterprise Metadata Management


  1. […] My colleague, Nick Heudecker, just published Building Responsive Data Management for Web-Scale IT. Web-scale IT requires new models of development and deployment, which must be supported by data management practices that adapt to uncertain and changing conditions. Data management leaders must create and support continually evolving information infrastructure to meet the needs of web-scale IT. This …  […]



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