Data now comes from many sources, and each source can define similar data points in different ways. It's the first step to facilitate data migration, data integration, and other data management tasks.īefore data can be analyzed for business insights, it must be homogenized in a way that makes it accessible to decision makers. Understanding data mapping for the modern enterpriseĭata mapping is the process of matching fields from one database to another. So to move and consolidate data for analysis or other tasks, a roadmap is needed to ensure the data gets to its destination accurately.įor processes like data integration, data migration, data warehouse automation, data synchronization, automated data extraction, or other data management projects, quality in data mapping will determine the quality of the data to be analyzed for insights. And different systems store similar data in different ways. Nearly every enterprise will, at some point, move data between systems. One misstep in data mapping can ripple throughout your organization, leading to replicated errors, and ultimately, to inaccurate analysis. Talend Job Design Patterns and Best Practices: Part 3ĭata mapping is crucial to the success of many data processes.Talend Job Design Patterns and Best Practices: Part 4.What is Customer Data Integration (CDI)?.
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