Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption

Autor:	Elotmani Fouad, Esbai Redouane, Atounti Mohamed
Jazyk:	English<br />French
Rok vydání:	2023
Předmět:	big data sql relational database nosql energy efficiency the transformation rules bigdata cql Environmental sciences GE1-350
Zdroj:	E3S Web of Conferences, Vol 412, p 01108 (2023)
Druh dokumentu:	article
ISSN:	2267-1242 20234120
DOI:	10.1051/e3sconf/202341201108
Popis:	This study investigates the automatic creation of column-oriented NoSQL databases in Big Data environments and their impact on energy consumption. Traditional row-oriented databases face limitations in handling large volumes of data, resulting in slower query response times and energy inefficiencies. In contrast, column-oriented NoSQL databases store data in columns, enabling efficient compression, retrieval, and query processing. Innovative techniques are employed to automatically create these databases, optimizing performance and minimizing manual intervention. Storing data in a columnar format reduces storage requirements and power consumption while improving data locality and reducing I/O operations. This study emphasizes the benefits of adopting column-oriented NoSQL databases, including improved performance, scalability, and energy efficiency in Big Data environments.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/17b2b11aed094eb48d6205f0bd4b8fa8 Zobrazit plný text záznamu View record in DOAJ