A data virtualization system essentially creates a virtual fabric, delivering an easy-to-consume view across hundreds of data sources. Instead of lifting and shifting source data to the lake or cloud, ...

Unlike typical “extract, transform, and load” (ETL) processes, virtualization doesn’t require data to be moved to a data warehouse or data lake first. Data is aggregated in a single location ...

Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data ... Logical architectures for analytics are typically implemented using data virtualization ...

Data Virtualization and Data Lake technologies will be at the core strategy of any organization over the next 5 to 10 years,” said Aaron Applbaum, partner at MizMaa. “Varada disrupts this space with ...