The role of great data in the life cycle of the product. Modern approaches to management of great data

Authors: Kiseleva E.Yu., Fedotova A.V.
Published in issue: #8(25)/2018
DOI: 10.18698/2541-8009-2018-8-358
Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics
Keywords: product life cycle, big data processing, MapReduce, NoSQL, Hadoop, Disco, In-Memory, relational DBMS
Published: 08.08.2018

The article presents the purposes for which methods for managing large data at specific stages of the product life cycle (PLC) are defined. Three main periods of the PLC are analyzed and, according to them, examples of different types of input and output data are presented. Modern approaches to big data processing, including bypassing the use of the relational database management system (DBMS) are also presented. The paper considers the following approaches in managing big data: MapReduce, NoSQL, Hadoop, Disco. Approaches used by the DBMS, such as DBMS with vertical storage and In-memory DBMS, are considered. Particular attention is paid to Data Mining.

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