The core principle defined is a **Lakehouse**, a unified data platform architecture that integrates object storage (such as ADLS Gen 2) with scalable compute and advanced metadata management using the Delta Lake protocol to handle both structured and unstructured data. This concept operates within the domain of big data engineering, extending traditional Data Lakes by adding transactional ACID guarantees via **Delta Tables** and enabling SQL-based access through T-SQL endpoints without requiring code modification or full replication of external assets. The theory posits that this architecture supports flexible analytics by allowing direct ingestion pipelines to format data into structured Delta formats while utilizing **Shortcuts** as a referencing mechanism where logical tables map to physical files in remote storage, thereby maintaining low-latency access and efficient join operations across hybrid environments without duplicating underlying data volumes.
The core principle defined is a **Lakehouse**, a unified data platform architecture that integrates object storage (such as ADLS Gen 2) with scalable compute and advanced metadata management using th…