Integration
Integration in data science refers to the process of combining data from different sources into a single, unified view. This involves identifying and resolving any inconsistencies or discrepancies in the data, as well as ensuring that the data is properly formatted and structured for analysis. Integration is a critical step in the data pipeline, as it enables organizations to gain a more complete and accurate understanding of their data, which in turn can lead to better decision-making and more effective business strategies.
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