Data virtualization is a technique that breaks data silos by combining data from various sources using SQL without having to copy or load the data. It acts like a database server, connecting to multiple data sources and grabbing data from them, translating SQL queries into dialects for each data source, and joining, filtering, and aggregating the data. This technology saves time and effort, allowing users to delegate tedious tasks to virtualization software and focus on analyzing data. Advanced data virtualization includes features like ETL/ELT integration methods, enabling businesses to cover a wide range of use cases. With CData Virtuality, organizations can leverage their data's full potential, providing a single source of truth platform and accelerating modern data architectures.