The target database in question can be a Relational Database, NoSQL Database, or a CSV document. Talend Open Studio for Data Integrationĭata Mapping in simple terms refers to creating a map where the source data will be directed to the targeted database.Factors to Consider When Choosing Data Mapping Tools.Importance of Data Mapping in ETL Process.After looking at the crucial factors to be kept in mind before hunting for Data Mapping Tools, a well-rounded description of the 3 best Data Mapping Tools currently in the market is given to you. Powerful and versatile Data Mapping Tools are crucial to your data usage strategy. This article will help the reader understand the basics of Data Mapping and why is it an integral component of an ETL process.
Data Mapping is the process of matching source data fields to target data fields, during a Data Migration or warehousing project using Data Mapping Tools. It’s the translation of information between source and destination, such that the logical/semantic meanings are kept intact and the fitness of use of the destination data is enhanced.įurther, data would eventually move from your data warehouse to your BI tools, hence another iteration of Data Mapping would be needed to fine-tune your data to extract the most insightful information and adhere to the intricacies of the tool and the analytics process. The same data may need to be pre-processed differently, based on the target of your different analytic processes.
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