Big Data Processing Technologies in Distributed Information Systems

被引：10
|
作者：
Shakhovska, Nataliya [1 ]
Boyko, Nataliya [1 ]
Zasoba, Yevgen [1 ]
Benova, Eleonora [2 ]
机构：
[1] Lviv Polytech Natl Univ, 12 Bandera St, UA-79000 Lvov, Ukraine
[2] Comenius Univ, Fac Management, Odbojarov 10, Bratislava, Slovakia
来源：
10TH INT CONF ON EMERGING UBIQUITOUS SYST AND PERVAS NETWORKS (EUSPN-2019) / THE 9TH INT CONF ON CURRENT AND FUTURE TRENDS OF INFORMAT AND COMMUN TECHNOLOGIES IN HEALTHCARE (ICTH-2019) / AFFILIATED WORKOPS | 2019年 / 160卷
关键词：
Big data; Web application; Modeling; Processing; analytics;
D O I：
10.1016/j.procs.2019.11.047
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The analysis of Big data technologies was provided. An example of MapReduce paradigm application, uploading of big volumes of data, processing and analyzing of unstructured information and its distribution into the clustered database was provided. The article summarizes the concept of "big data". Examples of methods for working with arrays of unstructured data are given. The parallel system Resilient Distributed Datasets (RDD) is organized. The class of basic database operations was realized: database con-nection, table creation, getting in line id, returning all elements of the database, update, delete and create the line. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码：561 / 566
页数：6
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