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Lecture
Data Warehousing: Overview and Challenges
Description
This lecture covers the fundamentals of data warehousing, including data lakes, OLAP, and top-k queries. It discusses the importance of high-quality data for decision support systems, the challenges of heterogeneous data sources, data wrangling, and semantic integration. The instructor also explains the concept of a 'lakehouse' that combines the best features of data lakes and data warehouses.
Official source
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