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I developed a notebook to load data from the Bronze Lakehouse to the Silver Lakehouse for the customer domain. In this notebook, I created a derived column full_name by concatenating first_name and last_name. Additionally, I joined the customer data with the region_mapping table to retrieve the corresponding region_name, which was not available in the customer source table. A separate notebook was created for the product domain, where I introduced a new column by rounding the unit_price value to two decimal places to ensure data standardization and consistency. Another notebook was implemented to load data into the sales table in the Silver Lakehouse. In this process, I joined data from the sales, orders, and product tables, calculated the sales_amount column as per business requirements, and finally loaded the transformed dataset into the Silver Lakehouse. #microsoftfabric #MicrosoftFabrictutorial #MicrosoftFabricengineering #MicrosoftFabricrealtimeproject #MicrosoftFabricdataengineering #MicrosoftFabriclakehouse #MicrosoftFabricendtoendproject #MicrosoftFabricsession01 #dataengineeringproject #dataengineeringrealtimeproject #dataengineertutorial #dataengineeringwithmicrosoftfabric #enterprisedataengineering #realtimedataengineering #dataengineeringarchitecture #lakehousearchitecture #microsoftfabriclakehouse #bronzesilvergoldarchitecture #medallionarchitecture #endtoendlakehouseproject #enterpriselakehouse #pysparkdataengineering #pysparkmicrosoftfabric #powerbiwithmicrosoftfabric #fabricpipelines #fabricnotebooks #azuresqltofabric #dataengineeringinterview #microsoftfabricinterviewquestions #dataengineerroadmap #dataengineeringcourse #dataengineeringtraining #learnmicrosoftfabric #MicrosoftFabric #dataengineering