![]() ![]() Source-to-target mapping integration tasks vary in complexity depending on the data hierarchy and the disparity between the structure of source and target data. ![]() Source to target mapping in Astera Centerprise using a graphical data mapping UI In Figure 1, ‘Name,’ ‘Email,’ and ‘Phone’ fields from an Excel source are mapped to the relevant fields in a Delimited file, the destination. Here is an example of a data mapping software that illustrates the process from an Excel toto CSV document. In most cases, companies use a data mapping template to match fields from one database system to the other using a data mapping solution. In the data mapping process, the source data is directed to either a relational database, data warehouse or any file, like a CSV document - depending on the use case. ![]() Businesses can map and transform data for producing relevant data-driven insights to improve business efficiency. It is the initial step of any data process, including ETL and data integration. It helps consolidate data by extracting, transforming, and loading it to a destination system. What is Data Mapping?ĭata mapping is the process of extracting data fields from one or multiple source files and matching them to their related target fields in the destination. In such a scenario, integrating all the disparate data sources and creating automated data pipelines to make sense of dispersed data becomes essential, something which can be accomplished through a data mapping tool. Organizations collect information from various data points, and they may not always be in the same format. At the same time, it has become more important than ever for businesses to leverage data and transform it into actionable insights. Enterprise data is getting more dispersed and voluminous by the day. ![]()
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