which level in a datawarehouse architecture converts host to datawarehouse format ?a.Data Loadb.Data Transformationc.Data Cleaningd.Data Storage

To determine which level in a data warehouse architecture is responsible for converting host data into a data warehouse format, let's analyze the provided options:

1. Data Load: This step involves getting data from various sources into the data warehouse. It refers primarily to the process of moving data.

2. Data Transformation: This step is crucial in changing the format, structure, or values in the data so that it fits well into the data warehouse schema. It includes processes like mapping, aggregation, and conversion.

3. Data Cleaning: This involves correcting or removing inaccurate records from a dataset but does not inherently deal with converting the data format.

4. Data Storage: This refers to the final storage of data in the data warehouse after it has been transformed and loaded.

Final Answer

The correct answer is b. Data Transformation. This level is responsible for converting the host data into a format that is optimized for storage and analysis within the data warehouse.