Data mapping is the process of matching fields from multiple datasets into a schema, or centralized database. Data mapping is required to migrate data, ingest, and process data and manage data. Ultimately the goal of data mapping is to homogenize multiple data sets into a single one.
Data mapping means that different data sets, with varying ways of defining similar points, can be combined in a way that makes it accurate and usable at the end destination.
How does Data Mapping work?
Data mapping in simple terms is about creating a map where source data is directed to the targeted database. The target database can be a relational database or it can be a CSV document – it depends on the choice of the user. In most cases, a data mapping template is used to match fields from one database system to the other.
Types and Examples:
The DBMS is responsible for mapping between these three types of schemas in the database of the same file to represent it. There are two types of mapping
Get started for free right now!
Personally Identifiable Data
Let’s build data apps to transform your business processes