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Lecture Notes in Computer Science
Big data systems help organizations store, manipulate, and derive value from vast amounts of data. Relational database and MapReduce are two, arguably competing implementations of such systems. They are characterized by very large data volumes, diverse unconventional data types and complex data analysis functions. These properties make it challenging to develop big data benchmarks that reflect real life use cases and cover multiple types of implementation options. In this position paper, wedoi:10.1007/978-3-642-53974-9_4 fatcat:edf2ntdkdnfopckwlvcfg4pyqy