Titlebook: Big Data 2.0 Processing Systems; A Systems Overview Sherif Sakr Book 2020Latest edition The Editor(s) (if applicable) and The Author(s), un

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General-Purpose Big Data Processing Systems,, and machine learning. Moreover, the process might involve the analysis of structured data from conventional transactional sources, in conjunction with the analysis of multi-structured data from other sources such as clickstreams, call detail records, application logs, or text from call center reco

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Large-Scale Processing Systems of Structured Data,onse time of milliseconds or few seconds. In addition, many programmers may be unfamiliar with the Hadoop framework and they would prefer to use SQL as a high-level declarative language to implement their jobs while delegating all of the optimization details in the execution process to the underlyin

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Large-Scale Graph Processing Systems,etween objects. Graphs have been widely used to represent datasets and encode problems across an already extensive range of application domains. The ever-increasing size of graph-structured data for these applications creates a critical need for scalable and even elastic systems that can process lar

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Large-Scale Stream Processing Systems, new data-generating scenarios, such as the ubiquity of mobile devices, location services, and sensor pervasiveness. In general, stream processing engines enable a large class of applications in which data are produced from various sources and are moved asynchronously to processing nodes. Thus, stre

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