What is data mapping in integration?
An example of an AI chatbot conversation about data mapping in integration.
What is data mapping in integration?
Data mapping in integration refers to the process of connecting data fields from one database to another, ensuring that data is accurately transferred and transformed.
Why is data mapping important for data integration?
Data mapping is crucial because it ensures data consistency, accuracy, and integrity during the integration process, preventing errors.
Can you give me an example of data mapping?
Sure! For instance, if you have a customer database with fields like 'First Name' and 'Last Name', and you want to integrate it with a CRM that uses 'Customer First' and 'Customer Last', data mapping will define how these fields correspond.
What tools can I use for data mapping?
There are several tools available for data mapping, including Talend, Informatica, and Microsoft Azure Data Factory, which provide user-friendly interfaces for mapping data.
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