Data virtualization is a method of data management that refers to the compiling of all enterprise data in one place, regardless of its source. This is completed via a virtual data layer that ...

Data lakes have been all the rage, but for federated data, virtualization fabrics offer greater speed, agility and utility for more users.

Data virtualization is on the rise to contend with the increasing complexity of data.

Data virtualization platforms must reach and extract data efficiently from a wide variety of structured and semi-structured data sources. Further, they must include methods to programmatically extend ...

Data virtualization’s centerpiece is an abstraction layer, such as any of the SQL-virtualization approaches that support logically unified access, query, reporting, predictive analytics, and ...

Data virtualization has been one of IBM Corp.’s primary concerns since Red Hat Inc.’s OpenShift open-source container application platform gained steam across the industry. Essentially, the ...

Data Virtualization blends big data and IoT with contextual data and predictive analytics. Explore its uses now.

These leading data virtualization tools help uncover data insights using a combination of data discovery, data modeling, and virtual data integration.

Data virtualization can help companies wrangle all thier data. It removes the need to move or replicate data and perform ETL.

The global data virtualization market size was US$ 3 billion in 2021. The global data virtualization market is expected to grow to US$ 20.1 billion by 2030 by registering a compound annual growth rate ...

Again, data virtualization facilitates this process with complete, integrated, dynamic views of each customer in motion, drawn from myriad sources without replication. Supply Chain Optimization: ...

Surrey, BC, May 06, 2025 (GLOBE NEWSWIRE) -- Today, Safe Software (Safe), the creator of the All-Data, Any-AI data integration platform, FME, announced the launch of FME Data Virtualization, a new ...