Map Conditional Field Document For Free

Data mapping is the process of matching fields from one database to another. It's the first step to facilitate data migration, data integration, and other data management tasks. Before data can be analyzed for business insights, it must be homogenized in a way that makes it accessible to decision makers.

5 steps to manually create a data map Determine which data fields to include in your map. ... Determine standard naming conventions. ... Define schema logic or transformation rules. ... Test the logic on a small sample. ... It's go time?complete your data map.

Data mapping is the process of connecting a data field from one source to a data field in another source. This reduces the potential for errors, helps standardize your data and makes it easier to understand your data.

Conditional Field Mapping allows you to control whether or not a value or field is written to a target datastore based on the contents of the source data. For example, if there is a NULL value in a source field, you can choose to overwrite target data with the NULL value or skip that field when updating a record.

A field mapping describes how a persistent field maps to the database. If necessary, it also contains data on how to link the field to the data of its owning object, and how to link the field to the data of any related objects (if the field represents a relation to one or more other persistent objects).

Field mapping is basically a copying function. Let's say you're creating a new contact record for an existing employee, or a new sales opportunity for an existing lead. You have to go through your database, and manually re-enter information from fields in one record into the corresponding fields of another record.