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Why is data integration required in a data warehouse more so than in an operational application?
1 Answer
written 2.5 years ago by |
Data integration becomes increasingly important in cases of merging systems of two companies or consolidating applications within one company to provide a unified view of the company's data assets.
The benefit of a data warehouse enables a business to perform analyses based on the data in the data warehouse.
Data across separate sources needs to be aligned and harmonized, and standardized. The need for data cleansing and data quality control is significant.
This is why integration work and scope in data warehousing is higher than in operational systems.