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Data Integration in Big Data Systems by h.mosam23 is a document available to read on EtoBox.

The document outlines the research and teaching focus of the Big Data Analytics Group at Philipps-University of Marburg, emphasizing data integration, profiling, and scalable computing. It discusses the motivations for data integration, including the challenges of combining heterogeneous data sources and the conflicting goals of online transaction processing (OLTP) and online analytical processing (OLAP). The document also defines data integration and its dimensions, integration scenarios, and applications

Author
h.mosam23
Language
EN