Data Transformation is referred to asa.Process to change from detailed level to summary levelb.Join data from one source to multiple sourcesc.Process to change from summary level to detailed leveld.Separate data from one source into various sources
Question
Data Transformation is referred to asa.Process to change from detailed level to summary levelb.Join data from one source to multiple sourcesc.Process to change from summary level to detailed leveld.Separate data from one source into various sources
Solution
Data Transformation refers to the process of converting data from one format or structure into another. This can involve a wide range of activities, such as:
a. Aggregating data: This is the process of changing data from a detailed level to a summary level. For example, you might aggregate sales data from individual transactions to total sales by month or by region.
b. Merging data: This involves joining data from one source with data from multiple other sources. For example, you might merge customer data from a sales database with demographic data from a marketing database to get a more complete picture of your customers.
c. Disaggregating data: This is the process of changing data from a summary level to a detailed level. For example, you might disaggregate total sales data by month to individual transactions to analyze sales patterns.
d. Splitting data: This involves separating data from one source into various sources. For example, you might split a database of customer information into separate databases for active customers and inactive customers.
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