Enhancing the performance of distributed big data processing systems using Hadoop and Polybase

Abstract

<p>The approach to improvement of performance of distributed information systems based on sharing technologies of the Hadoop cluster and component of SQL Server PolyBase was considered. It was shown that the relevance of the problem, solved in the research, relates to the need for processing Big Data with different way of representation, in accordance with solving diverse problems of business projects. An analysis of methods and technologies of creation of hybrid data warehouses based on different data of SQL and NoSQL types was performed. It was shown that at present, the most common is the technology of Big Data processing with the use of Hadoop distributed computation environment. The existing technologies of organization and access to the data in the Hadoop cluster with SQL-like DBMS by using connectors were analyzed. The comparative quantitative estimates of using Hive and Sqoop connectors during exporting data to the Hadoop warehouse were presented. An analysis of special features of Big Data processing in the architecture of Hadoop-based distributed cluster computations was carried out. The features of Polybase technology as a component of SQL Server for organizing a bridge between SQL Server and Hadoop data of the SQL and NoSQL types were presented and described. The composition of the model computer plant based on the virtual machine for implementation of joint setting of PolyBase and Hadoop for solving test tasks was described. A methodological toolset for the installation and configuration of Hadoop and PolyBase SQL Server software was developed with consideration of constraints on computing capacities. Queries for using PolyBase and data warehouse Hadoop when processing Big Data were considered. To assess the performance of the system, absolute and relative metrics were proposed. For large volume of test data, the results of the experiments were presented and analyzed, which illustrated an increase in productivity of the distributed information system – query execution time and magnitude of memory capacity of temporary tables, created in this case. A comparative analysis of the studied technology with existing connectors with Hadoop cluster, which showed the advantage of PolyBase over connectors of Sqoop and Hive was performed. The results of the research could be used in the course of scientific and training experiments of organization when implementing the most modern IT-technologies.</p>

Authors and Affiliations

Sergii Minukhin, Victor Fedko, Yurii Gnusov

Keywords

Related Articles

Development of structural-parametric optimization method in systems with continuous feeding of technological products

<p>Increasing the efficiency of continuous technological processes, in practice, involves certain difficulties. The presence of these difficulties is due to the fact that the technological product quality is functionally...

Investigation of the properties of Ni(OH)2 electrochrome films obtained in the presence of different types of polyvinyl alcohol

<p class="1">Electrochromic films were prepared by cathodic template synthesis in the presence of two types of polyvinyl alcohol: with the hydrolysis degree of 99 % and 85 %. The prepared films show differences in struct...

Organization of responsibility accounting of city electric transport enterprises’ activity

<p class="a">The problems of organization of responsibility accounting of the city electric transport (CET) enterprises' activity are considered. The industry specifics of the activity of tram and trolleybus enterprises...

Algorithm for selecting the winning strategies in the processes of managing the state of the system "supplier – consumer" in the presence of aggressive competitor

<p>The issue examined in this work relates to the search for an optimal pricing strategy by an enterprise-supplier in case it faces a new competitor that offers products at a lower price. The emergence of such a problem...

An algebraic method for calculating PageRank

<p>An algebraic method is proposed for finding PageRank estimates for pages of websites. The amount of calculation in the proposed method does not depend on the value of the damping coefficient, which allows obtaining mo...

Download PDF file
  • EP ID EP528054
  • DOI 10.15587/1729-4061.2018.139630
  • Views 108
  • Downloads 0

How To Cite

Sergii Minukhin, Victor Fedko, Yurii Gnusov (2018). Enhancing the performance of distributed big data processing systems using Hadoop and Polybase. Восточно-Европейский журнал передовых технологий, 4(2), 16-28. https://europub.co.uk/articles/-A-528054