Further, the real-time application of Big Data analytics can help in efficient stocking and an overall improvedsupply chain managementfor the companies without running the risk of overstocking or product shortage. Big Data Applications in the Education Sector ...
Needless to say, we have faced a lot of challenges in the analysis and study of such a huge volume of data with traditionaldata processingtools. To overcome these challenges, some big data solutions were introduced such asHadoop. These big data tools helped realize the applications of big data...
This free book is to provide the reader with a variety of fields and systems where the analysis and management of Big Data are essential. It describes the importance of the Big Data era and how existing information systems are required to be adapted to f
HeMem: Scalabe Tiered Memory Mangement for Big Data Applications and Real NVM introduction 混合内存架构的使用成为了一种趋势。随着傲腾非易失性内存正在逐渐普及,相比于DRAM,它拥有着更高的密度,提供更大的内存容量。然而,傲腾非易失性内存的带宽和延迟性能与DRAM存在一定的差距。为了弥补性能的问题兼顾内存容量...
4.1、Data 该层主要负责数据的收集和存储,也包括数据清洗和⼀些简单的数 据分析,为Analytics准备数据。在数据采集终端,需要对所有终端进行管理。 ⼤数据分析⾸先需要解决的问题是⾼速数据流管理的数据采集侧数据预处理和数据流控制。论文【Adaptive data stream management system using learning automata】提出了...
Abdel-Aty, ``Big data applications in real-time traffic operation and safety monitoring and improvement on urban express- ways,'' Transp. Res. C, Emerg. Technol., vol. 58, pp. 380-394, Sep. 2015.Shi, Q., & Abdel-Aty, M. (2015). Big data applications in real-time traffic ...
Scalability and low-latency outputs are vital while dealing with big stream data. The potentiality of traditional approach like data stream management systems (DSMSs) is inadequate to ingest and process huge volume and unbounded stream data for knowledge extraction. A novel approach develops ...
Big data platforms have predominantly focused on the volume aspects of large-scale data management. The growing pervasiveness of Internet of Things (IoT) applications, along with their associated ability to collect data from physical and virtual sensors continuously, highlights the importance of managing...
We now develop our discussion around infrastructure, and big data processing techniques. 3.1. Cloud based systems This paper argues that the advent of cloud-based technology is one of the most significant shifts in modern information systems architecture for both service and enterprise applications (...
In big data, the huge data sets are not able to be managed with typical database management systems because of its massive sizes. The size in big data ranges from few terabytes to many petabytes. Generally, big data applications searches for novel information and collects intelligence from the...