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 ...

Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn scattered data into a strategic advantage. Organizations are getting serious about ...

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 ...

a logical data lake or logical data marts. Data virtualisation also abstracts underlying source complexities so that business users can have seamless data access while IT departments make changes ...

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 ...

For years, organizations have been consolidating all of their data into a single place, such as a data warehouse, or more recently, a data lake ... Data virtualization is a data integration ...