Posted On: Feb 22, 2018
There are possible mistakes when data is migrating from one source to another. Such mistakes are seen during transformation logic and mapping. These errors have led to many issues like incorrect values, missing values and records, records duplication and others. Data reconciliation was necessary as a result of this.
Data reconciliation is a data verifying process during as data migration. The data reconciliation process involves the comparison of target data with source data to make sure data is transferred by the migration architecture. Data reconciliation has other benefits apart from making use of different mathematical models to extract and process reliable information.
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A data warehouse consists of data which is obtained from data sources or in other words, external sources...