Data integration refers to the process of bringing together data from multiple sources across an organization to provide a complete, accurate, and up-to-date dataset for BI, data analysis and other applications and business processes. It includes data replication, ingestion and transformation to combine different types of data into standardized formats to be stored in a target repository such as a data warehouse, data lake or data lakehouse.
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Data integration refers to the process of combining data from multiple sources into a unified, coherent format that can be used for various business purposes.🔗ibm.com
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Data integration is the process of consolidating data from many sources to provide a complete, accurate & current dataset for BI, data analysis & other apps.🔗Qlik
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Learn about data integration, including different integration methods, data integration tools and the benefits and challenges of data integration efforts.🔗Data Management
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