Data fabric is one of those buzzwords that’s used so much and in so many ways that it often elicits an eyeroll—undeservedly so. The phrase is shorthand for a complex and important set of issues that we’re all working to manage. In this article we’ll review what data fabric is and why it’s important.
Published at:
https://www.eckerson.com/articles/data-fabric-s-use-of-abstraction-and-metadata

Data Fabric’s Use of Abstraction and Metadata - Audio Blog

Over the past 20 years or more, data architecture practices have focused almost exclusively on managing data for analytics. Operational data is much more than source data for analytics. We must give attention to operational data architecture or pay the price in data disparity, data friction, and technical debt.
Published at:
https://www.eckerson.com/articles/operational-data-architecture

Operational Data Architecture

The data mesh paradigm is in a nascent stage with data personas and organizations craving clarity and quick answers. Best practices are yet to be crystallized. Mesh done incorrectly runs the risk of degenerating into silos.
Published at:
https://www.eckerson.com/articles/caution-data-leaders-plan-carefully-before-rushing-to-data-mesh

Caution Data Leaders: Plan Carefully Before Rushing To Data Mesh - Audio Blog

Data mesh is a hot topic in the data world, generating conversations about the benefits and drawbacks of its decentralized approach. Concerns about an explosion of data silos and inconsistent data quality are justified. But to those who feel a bit like Chicken Little, maybe the sky is not falling.
Published at:
https://www.eckerson.com/articles/data-mesh-the-sky-is-not-falling

Data Mesh: The Sky Is Not Falling - Audio Blog

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

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