One smart way to reach this goal: establishing an engineering data fabric, a collection of digital threads focused on the design, implementation, manufacturing, transition, operations and sustainment ...

In my opinion, Fabric is somewhat similar conceptually to the late Big Data Clusters concept in that it supports Spark data engineering and T-SQL for querying at scale against any of its sources.

Learn More Today, at its ongoing Build 2024 conference, Microsoft announced a major update for Fabric ... data lake offering) with seven workloads running atop: Data Factory, Synapse Data ...

“This wastage is something that Fabric addresses because it creates a unified compute model,” explained Ulag. “Overnight, it might do a lot of data engineering and data science, maybe data ...

“Due to Fabric’s unified operations, developers can turn sensor data, business rules, and historical context into a graph that can be used to streamline ML feature engineering,” Ni sai ...

Microsoft has also bundled the Synapse Data Engineering module, also in public preview, which helps with model authoring in Apache Spark, it said. Fabric also includes Synapse Data Science ...

Microsoft unveiled Fabric, a unified platform with the ability to handle an organization’s data and analytics workloads end-to-end, right from data integration and engineering to visualization.

Founded last year, Canopy describes itself as a “data composability ... also worked at Fabric, as senior vice president of product management. He previously led engineering teams at Google ...