Data blending is a process whereby big data from multiple sources are merged into a single data warehouse or data set. Data blending allows business analysts to cope with the expansion of data that they need to make critical business decisions based on good quality business intelligence. Data blending has been described as different from data integration due to the requirements of data analysts to merge sources very quickly, too quickly for any practical intervention by data scientists..
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Data blending is the act of bringing data together from a wide variety of sources into one useful dataset to perform deeper, more complex analyses.🔗Alteryx
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Data blending is combining multiple datasets to create a single, new dataset, which can then be processed or analyzed. Learn More!🔗Sisense