Titlebook: Handbook of Big Data Technologies; Albert Y. Zomaya,Sherif Sakr Book 2017 Springer International Publishing AG 2017 Big Data.MapReduce.Had

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Big Data Query Enginess realized by partitioning data across multiple machines that communicate via a high speed interconnect layer. These systems often rely on dedicated expensive hardware resources in order to scale-out query processing and provide fault tolerance. With the emergence of Hadoop, it became possible to us

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Searching the Big Data: Practices and Experiences in Efficiently Querying Knowledge Basesrithms to reduce the identification time. We then prefetch and cache the results of these queries aiming to improve the overall querying performance. We also develop a forecasting method, namely Modified Simple Exponential Smoothing, to implement the cache replacement. Our approach has been evaluate

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