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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Searching the Big Data: Practices and Experiences in Efficiently Querying Knowledge Basesbase of the world’s knowledge and typically use the entity-relational model. Most of the existing knowledge bases make their data in the RDF format. Tools including querying, inferencing and reasoning on facts are developed to consume the knowledge. In this chapter, we introduce a client-side cachin

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Management and Analysis of Big Graph Data: Current Systems and Open Challengeso analyze such graph data should meet a number of challenging requirements including support for an expressive graph data model with heterogeneous vertices and edges, powerful query and graph mining capabilities, ease of use as well as high performance and scalability. In this chapter, we survey cur

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https://doi.org/10.1007/978-3-642-72414-5data model captures the logical representation and structures for data processing and management. Understanding storage and data model together is essential for understanding the built-on big data ecosystems. In this chapter we are going to investigate and compare the key storage and data models in

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Indikationen für die Digitalistherapierograms. Programming models normally the core feature of big data frameworks as they implicitly affects the execution model of big data processing engines and also drives the way for users to express and construct the big data applications and programs. In this chapter, we comprehensively investigat

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Dokumentation und Arzneimittelsicherheittechniques with key features like scalability, fault tolerance, efficient task distribution, usability and processing speed. In this chapter, we first provide a comprehensive survey of the requirements, give an overview and classify existing big data programming platforms based on different dimensio

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,Pflanzliche durchblutungsf?rdernde Mittel,torage, process and analysis capabilities. Those data volumes, commonly referred as Big Data, can be exploited to extract useful information and to produce helpful knowledge for science, industry, public services and in general for humankind. Big Data analytics refer to advanced mining techniques ap