Data blending
From Wikipedia, the free encyclopedia
Data blending is a process whereby big data from multiple sources[1] are merged into a single data warehouse or data set.[2]
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.[3] 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.[4] A study done by Forrester Consulting in 2015 found that 52 percent of companies are blending 50 or more data sources and 12 percent are blending over 1,000 sources.[5]