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.

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

Data Engineering in Microsoft Fabric includes the lakehouse, Apache Spark job definitions, notebooks (in Python, R, Scala, and SQL), and data pipelines (discussed in the Data Factory section above).

“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.

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 ...

AI fabrics go further by harmonising data fabrics with AI development and operationalisation tools. This places a comprehensive semantic (natural language) layer atop data estates. This layer enhances ...

Microsoft today launched Microsoft Fabric, a new end-to-end data and analytics platform (not to be confused with Azure Service Fabric).The new platform centers around Microsoft’s OneLake data ...

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 ...

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 ...