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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石墨

預(yù)感

Big Data Analysis on Cloudstorage, 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

字謎游戲

Data Organization and Curation in Big Data analytics are getting more complex, the advances in big data applications are no longer hindered by their ability to collect or generate data. But instead, by their ability to efficiently and effectively manage the available data. Therefore, numerous scalable and distributed infrastructures have be

COST

Big Data Query Enginesare used in several big data applications ranging from the generation of simple reports to running deep and complex query workloads. The insights drawn by running big data analytics depend primarily on the capabilities of the underlying query engine, which is responsible for translating user queries

牢騷

使腐爛

Semantic Data Integrationuly useful, scientists need not only to be able to access it, but also be able to interpret and use it. Doing this requires semantic context. Semantic Data Integration is an active field of research, and this chapter describes the current challenges and how existing approaches are addressing them. T

消耗

高談闊論

Non-native RDF Storage Enginesn be stored according to many different data storage models. Some of these attempt to use general purpose database storage techniques to persist Linked Data, hence they can leverage existing data processing environments (e.g., big Hadoop clusters). We therefore look at the multiplicity of Linked Dat