Data-intensive software is increasingly prominent in today’s world, where the collection, processing, and dissemination of ever-larger volumes of data has become a driving force behind innovation in the early twenty-first century. The trend towards massive data manipulation is broad-based, and case studies can be examined in domains from politics, to intelligence gathering, to scientific and medical research. The scientific domain in particular provides a rich array of case studies that offer ready insight into many of the modern software engineering, and software architecture challenges associated with data-intensive systems.
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