What is the data mapping process?
The data mapping process involves defining how data from one source relates to data in another source.
Why is data mapping important?
Data mapping is crucial for data integration, ensuring consistency and accuracy across systems.
Can you explain the steps involved in data mapping?
Sure! The steps typically include data discovery, mapping design, transformation rules, and validation.
What tools can I use for data mapping?
There are several tools available, such as Talend, Informatica, and Microsoft Azure Data Factory.
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