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A classic snack that's been loved for over a century and a cutting-edge data fabric solution might seem worlds apart. Yet, they've come...

Key Takeaways: Quest Diagnostics saw the need for a data fabric that could integrate a distributed digital ecosystem and enable business...

Gartner Summary: Introducing active metadata from a data fabric will enable LLMs to reduce manual data management implementation and...

Learn from Kaycee Lai, CEO and Founder of Promethium, How an AI-Enhanced Data Fabric Speeds the Creation of Data Products at F500 companies.

In our last blog in this series, we took a deeper dive into the components that make up a Data Fabric and Data Mesh. If you look closely,...

Discover the key components of a Data Mesh, including data domains, products, product owners, self-serve data platform, data governance, fed

Philip Russom, Independent Consultant and Industry Analyst for Data Management sat down with Promethium's CEO and Founder, Kaycee Lai, to...

When it comes to managing access to data on an organizational level, there are a number of models that are used the latest is data fabric.

Of all recent developments in data management, the data fabric may be the most compelling for a number of reasons. For example, it promises

A data fabric creates a virtual layer that joins all of an organization’s data with the process and platforms necessary for decisionmaking.

The growth and increasing complexity of enterprise data architectures have created a need for the ability to query multiple dataset.

Learn the differences, pros and cons of a data fabric and data virtualization. Which use cases make sense for each and how to apply them.

Chief Data Officer at American Tire Distributors, speaks to Promethium CEO on making a tire company the leader in insights and analytics

The Data Mesh concept is hyped as a counterpoint to the traditional large, centralized data platforms of the past few decades.

A federated query is joining data from two or more disparate data sources. Example, joining data from Salesforce with data from an Oracle.

For data and analytics leaders and teams working with complex data environments, learn what can be done speed up finding and accessing data

What makes Data Fabric data pipelines so special is that they don't rely on persisting data first.

Data and analytics teams spend thousands of hours designing and managing data pipelines. Learn the better way. Watch now.

The Data Fabric concept pushes beyond traditional thinking and is a big idea for changing the way data is made accessible.