What is Data Fabric? Uses, Definition & Trends

Support data access across the business with the flexible and augmented capabilities enabled by a data fabric., whereby I agree to provide Gartner with my personal information, and understand that information will be transferred outside of mainland China and processed by Gartner group companies and other legitimate processing parties and to be contacted by Gartner group companies via internet, mobile/telephone and email, for the purposes of sales, marketing and research.

Delivers productivity advantages through automated data access and integration, as well as increased agility, for data engineers, resulting in faster delivery of data requestsDelivers faster time to insight from data and analytics investments, improved utilization of organizational data, and reduced cost through insights on effective data design, delivery and utilizationData fabric relies on metadata, which is the “data in context” that documents the contextual what, when, where, who and how of...

The next step is to activate the collected metadata by performing graph analytics on it and using the output to train an AI/ML model to automate data integration and data management tasks. From this foundation, data and analytics teams can produce knowledge graphs that expose connections between your organization’s varied data assets and their users.

Source: Entertainment Trends (entertainmenttrends.net)

Data & Analytics Guide Data Management Solutions Pillar

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Understanding the Importance of Data Lineage in Ensuring Data QualityThis article discusses the concept of data lineage and its importance in ensuring data quality and accuracy. It compares data lineage to a map that guides users in understanding the flow of data from source to destination.
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