In data warehouse (DW) management, what is the BEST way to prevent data quality issues caused by changes from a source system?
In data warehouse (DW) management, what is the BEST way to prevent data quality issues caused by changes from a source system?
The best way to prevent data quality issues caused by changes from a source system in data warehouse management is to include the data warehouse in the impact analysis for any changes in the source system. This approach ensures that any modification in the source system is thoroughly assessed for its potential impact on the data warehouse. By doing so, stakeholders can evaluate how changes might affect data integrity, structure, and quality within the data warehouse environment and take proactive measures to mitigate potential risks.
I think its B as well.
This approach ensures that any changes made to the source system are thoroughly analyzed for their potential impact on the data warehouse. By including the data warehouse in the impact analysis process, stakeholders can assess how changes might affect data integrity, structure, or quality within the DW environment. It allows for proactive measures to be taken to mitigate potential risks and maintain data quality standards.
I chose B
B. Include the data warehouse m the impact analysis for any changes in the source system
testteststest
why not C
they are asking about prevent not detect