The core theoretical framework presented is the "OneLake" architecture paradigm, defined as a unified, tenancy-wide data storage service that abstracts physical storage location and file system topology to create a single logical view for organizational data assets. This mechanism relies on the abstraction of diverse native formats (such as Delta Lake) into standardized file objects within an ADLS Gen2-compatible interface, enabling cross-engine interoperability through virtualization patterns like shortcuts rather than materialized ETL replication. Operating within the domain of modern cloud data platforms, this theory posits that value extraction is maximized by eliminating silos and decoupling compute engines from physical storage boundaries to support seamless collaboration across structured analytics, lakehouses, and workspaces under unified governance.
The core theoretical framework presented is the "OneLake" architecture paradigm, defined as a unified, tenancy-wide data storage service that abstracts physical storage location and file system topol…