Using Microsoft SQL Server 2019 Big Data Clusters
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| Veröffentlicht in: | Proceedings of International Conference on Application of Information and Communication Technology and Statistics in Economy and Education (ICAICTSEE) (2019), p. 148 |
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| Veröffentlicht: |
International Conference on Application of Information and Communication Technology and Statistics and Economy and Education (ICAICTSEE)
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| Online-Zugang: | Citation/Abstract Full Text Full Text - PDF |
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| 045 | 2 | |b d20190101 |b d20191231 | |
| 084 | |a 231030 |2 nlm | ||
| 100 | 1 | |a Radoev, Mitko |u University of National and World Economy, Sofia, Bulgaria | |
| 245 | 1 | |a Using Microsoft SQL Server 2019 Big Data Clusters | |
| 260 | |b International Conference on Application of Information and Communication Technology and Statistics and Economy and Education (ICAICTSEE) |c 2019 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a The development of the modern database management systems is leading to providing users and developers of information systems with new and powerful tools for storing and processing large volumes of data. Microsoft SQL Server 2019 provides extremely interesting new features with Big Data Clusters. This paper aims to present the capacity of this tool and to suggest options for using it to store and process large volumes of heterogeneous data. | |
| 653 | |a Data base management systems | ||
| 653 | |a Big Data | ||
| 653 | |a Machine learning | ||
| 653 | |a Information systems | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Data processing | ||
| 653 | |a Relational data bases | ||
| 653 | |a Algorithms | ||
| 653 | |a Clusters | ||
| 653 | |a Queries | ||
| 653 | |a Servers | ||
| 653 | |a Pipelines | ||
| 653 | |a Linear algebra | ||
| 653 | |a Query languages | ||
| 773 | 0 | |t Proceedings of International Conference on Application of Information and Communication Technology and Statistics in Economy and Education (ICAICTSEE) |g (2019), p. 148 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2444676691/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/2444676691/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2444676691/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |