Final answer:
One critical difference between normal calculated fields and the calculated fields created after data blending is the source of the data and the level at which the calculations are performed.
Step-by-step explanation:
One critical difference between normal calculated fields and the calculated fields created after data blending is that normal calculated fields are created within a single data source, while calculated fields created after data blending involve combining data from multiple data sources. In data blending, calculations are performed on aggregated data, whereas normal calculated fields can be based on individual data points.
For example, let's say you have two data sources, one with sales data and another with customer data. If you want to calculate the average purchase amount per customer, you can create a normal calculated field within each data source. However, if you want to calculate the total purchase amount for each customer over a certain period, you would need to blend the data sources and create a calculated field based on the combined data.
Summary: Normal calculated fields are created within a single data source, while calculated fields after data blending involve combining data from multiple sources. Data blending allows for calculations on aggregated data, while normal calculated fields can be based on individual data points.