Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption
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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
|
| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01108.pdf |
| _version_ | 1797673700156243968 |
|---|---|
| author | Elotmani Fouad Esbai Redouane Atounti Mohamed |
| author_facet | Elotmani Fouad Esbai Redouane Atounti Mohamed |
| author_sort | Elotmani Fouad |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T21:48:12Z |
| format | Article |
| id | doaj.art-17b2b11aed094eb48d6205f0bd4b8fa8 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-11T21:48:12Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-17b2b11aed094eb48d6205f0bd4b8fa82023-09-26T10:10:32ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014120110810.1051/e3sconf/202341201108e3sconf_icies2023_01108Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumptionElotmani Fouad0Esbai Redouane1Atounti Mohamed2University Mohammad PremierUniversity Mohammad PremierUniversity Mohammad PremierThis 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01108.pdfbig datasql relational databasenosqlenergy efficiencythe transformation rulesbigdatacql |
| spellingShingle | Elotmani Fouad Esbai Redouane Atounti Mohamed Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption E3S Web of Conferences big data sql relational database nosql energy efficiency the transformation rules bigdata cql |
| title | Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption |
| title_full | Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption |
| title_fullStr | Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption |
| title_full_unstemmed | Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption |
| title_short | Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption |
| title_sort | creation of column oriented nosql databases automatically in big data environments and its impact on energy consumption |
| topic | big data sql relational database nosql energy efficiency the transformation rules bigdata cql |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01108.pdf |
| work_keys_str_mv | AT elotmanifouad creationofcolumnorientednosqldatabasesautomaticallyinbigdataenvironmentsanditsimpactonenergyconsumption AT esbairedouane creationofcolumnorientednosqldatabasesautomaticallyinbigdataenvironmentsanditsimpactonenergyconsumption AT atountimohamed creationofcolumnorientednosqldatabasesautomaticallyinbigdataenvironmentsanditsimpactonenergyconsumption |