Data Warehouse-lntegrated Constructed by integrating multiple, heterogeneous data Sources relational databases flat files on -line transaction records Data cleaning and data integration techniques are applied Ensure consistency in naming conventions, encoding structures attribute measures etc. among different data sources E.g., Hotel price: currency tax, breakfast covered, etc When data is moved to the warehouse it is converted6 Data Warehouse—Integrated ◼ Constructed by integrating multiple, heterogeneous data sources ◼ relational databases, flat files, on-line transaction records ◼ Data cleaning and data integration techniques are applied. ◼ Ensure consistency in naming conventions, encoding structures, attribute measures, etc. among different data sources ◼ E.g., Hotel price: currency, tax, breakfast covered, etc. ◼ When data is moved to the warehouse, it is converted