MS SQL Server

Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications which may run either on the same computer or on another computer across a network (including the Internet). Microsoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users. (

References in zbMATH (referenced in 95 articles , 3 standard articles )

Showing results 1 to 20 of 95.
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  1. Koehler, Henning; Link, Sebastian: Inclusion dependencies and their interaction with functional dependencies in SQL (2017)
  2. Haddar, Nahla; Tmar, Mohamed; Gargouri, Faiez: A data-centric approach to manage business processes (2016)
  3. Kempa, Wojciech M.; Woźniak, Marcin; Nowicki, Robert K.; Gabryel, Marcin; Damaševicius, Robertas: Transient solution for queueing delay distribution in the $GI/M/1/K$-type mode with “queued” waking up and balking (2016)
  4. Maëlle Salmon; Dirk Schumacher; Michael Höhle: Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance (2016)
  5. Mancas, Christian: Conceptual data modeling and database design. A fully algorithmic approach: Volume 1: The shortest advisable path (2016)
  6. Milošević, Danijela; Pepić, Selver; Saračević, Muzafer; Tasić, Milan: Weighted Moore-Penrose generalized matrix inverse: MySQL vs. Cassandra database storage system (2016)
  7. Staszewski, Paweł; Woldan, Piotr; Korytkowski, Marcin; Scherer, Rafał; Wang, Lipo: Query-by-example image retrieval in microsoft SQL server (2016) ioport
  8. Garnaud, Eve; Maabout, Sofian; Mosbah, Mohamed: Functional dependencies are helpful for partial materialization of data cubes (2015)
  9. Grycuk, Rafał; Gabryel, Marcin; Scherer, Rafał; Voloshynovskiy, Sviatoslav: Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database (2015) ioport
  10. Łatuszko, Marek; Pytlak, Radosław: Methods for solving the mean query execution time minimization problem (2015)
  11. Philip Chen, C.L.; Zhang, Chun-Yang: Data-intensive applications, challenges, techniques and technologies: a survey on big data (2014) ioport
  12. Schoepe, Daniel; Hedin, Daniel; Sabelfeld, Andrei: SeLINQ: tracking information across application-database boundaries (2014)
  13. Cugola, Gianpaolo; Margara, Alessandro: Deployment strategies for distributed complex event processing (2013) ioport
  14. Catania, Barbara; Maddalena, Anna: A unified framework for heterogeneous patterns (2012) ioport
  15. Cugola, Gianpaolo; Margara, Alessandro: Low latency complex event processing on parallel hardware (2012) ioport
  16. Mühlbach, Sascha; Koch, Andreas: A dynamically reconfigured multi-FPGA network platform for high-speed malware collection (2012) ioport
  17. Ramanan, Prakash: Rewriting XPath queries using materialized XPath views (2012)
  18. Ehlmann, Bryon K.: Association patterns for data modeling and definition (2011) ioport
  19. Groppe, Sven; Groppe, Jinghua; Klein, Niklas; Bettentrupp, Ralf; Böttcher, Stefan; Gruenwald, Le: Transforming XSLT stylesheets into XQuery expressions and vice versa (2011) ioport
  20. Qin, Biao; Wang, Shan: Combining intensional with extensional query evaluation in tuple independent probabilistic databases (2011)

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