A Data Lakehouse builds on the foundation of a Data Lake by adding core warehouse capabilities : transactional updates, etc.
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A Hybrid Data Warehouse unifies two complementary ecosystems. It combines the structure and governance of a Data Warehouse for BI, with the scalability of a Data Lake for big data, ML, and diverse formats.
Traditional data warehousing follows a structured, schema-on-write approach. Data is ingested through ETL pipelines into a centralized data warehouse, often complemented by downstream data marts.
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