Secured Data Management. Data management tells what data is reliable, how current it is, whether it is from the correct author, and many other key points across the data archetypes within the fabric.

“When you decide to go with a data fabric architecture, you are going with a central data strategy,” says Hema Raghavan, head of engineering and co-founder at Kumo AI.

Dwaine Plauche of Emerson’s AspenTech business shows how aggregating data sources gets users the answers they need ...

In the current landscape of pervasive connectivity, data has become an indispensable asset for enterprises, particularly within the automotive sector. According to a 2019 McKinsey & Company report ...

AI fabric architecture is modular, scalable, and future-proof and the key to organizational excellence in the modern business landscape Time flies in the world of data analytics and artificial ...

Nasdaq Data Fabric is personalized and designed to scale with your growing engineering and infrastructure needs, reducing the operational stress of building and maintaining internal tech teams ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I ...

Fabric is an integrated analytics platform that unifies data integration, engineering, warehousing, science and business intelligence on top of a unified data lake.

Microsoft is adding new data agents to Fabric, its cloud-based offering combining data warehousing, data science, data engineering, and data analytics services. Its goal is to help business users ...

A data fabric enables self-service access to data – while it does not ensure automatic compliance with data privacy regulations, it does make achieving and demonstrating compliance a lot easier.