Gartner Research

Data Fabrics Add Augmented Intelligence to Modernize Your Data Integration


Data management teams are under constant pressure to provide faster access to integrated data across increasingly distributed landscapes. Data and analytics leaders must upgrade to a data fabric design that enables dynamic and augmented data integration in support of their data management strategy.

Published: 17 December 2019

ID: G00450706

Analyst(s): Ehtisham Zaidi Eric Thoo Guido De Simoni Mark Beyer

Table Of Contents
  • Impacts


Impacts and Recommendations

  • ML-Augmented Data Integration Is Making Active Metadata Analysis and Semantic Knowledge Graphs Pivotal Parts of the Data Fabric
    • Data Fabric Must Have the Ability to Collect and Analyze All Forms of Metadata
    • Data Fabric Must Have the Ability to Analyze and Convert Passive Metadata to Active Metadata
    • Data Fabric Must Have the Ability to Create a Knowledge Graph That Can Operationalize the Data Fabric Design
    • Data Fabric Must Enable Business Users to Enrich the Data Models With Semantics
  • Extreme Levels of Distribution, Scale and Diversity of Data Assets Add Complexity to Data Integration Design and Delivery
    • A Strong Data Integration Backbone Is Necessary for Versatile Data Sharing in Support a Data Fabric Design
  • Core Data Fabric Functionalities Now Appear in Many Separate Data Management Tools; Distinction Among Them Is Blurring
    • Delivering the Data Fabric With a Combination of Tools and Capabilities

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