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 107 articles , 3 standard articles )

Showing results 1 to 20 of 107.
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  1. Kain, Raslan; Manerba, Daniele; Tadei, Roberto: The index selection problem with configurations and memory limitation: a scatter search approach (2021)
  2. Brahmia, Zouhaier; Hamrouni, Hind; Bouaziz, Rafik: XML data manipulation in conventional and temporal XML databases: a survey (2020)
  3. Gaweł, Bartłomiej; Paliński, Andrzej: Credit risk management using automatic machine learning (2020)
  4. Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun: Kaskade: Graph Views for Efficient Graph Analytics (2019) arXiv
  5. Cerone, Andrea; Gotsman, Alexey; Yang, Hongseok: Algebraic laws for weak consistency (2017)
  6. Koehler, Henning; Link, Sebastian: Inclusion dependencies and their interaction with functional dependencies in SQL (2017)
  7. Gura, Claudiu; Iacob, Nicoleta Magdalena: Open source alternatives for enterprise databases (2016)
  8. Haddar, Nahla; Tmar, Mohamed; Gargouri, Faiez: A data-centric approach to manage business processes (2016)
  9. 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)
  10. Maëlle Salmon; Dirk Schumacher; Michael Höhle: Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance (2016) not zbMATH
  11. Mancas, Christian: Conceptual data modeling and database design. A fully algorithmic approach: Volume 1: The shortest advisable path (2016)
  12. Milošević, Danijela; Pepić, Selver; Saračević, Muzafer; Tasić, Milan: Weighted Moore-Penrose generalized matrix inverse: MySQL vs. Cassandra database storage system (2016)
  13. Staszewski, Paweł; Woldan, Piotr; Korytkowski, Marcin; Scherer, Rafał; Wang, Lipo: Query-by-example image retrieval in microsoft SQL server (2016) ioport
  14. Garnaud, Eve; Maabout, Sofian; Mosbah, Mohamed: Functional dependencies are helpful for partial materialization of data cubes (2015)
  15. 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
  16. Łatuszko, Marek; Pytlak, Radosław: Methods for solving the mean query execution time minimization problem (2015)
  17. Philip Chen, C. L.; Zhang, Chun-Yang: Data-intensive applications, challenges, techniques and technologies: a survey on big data (2014) ioport
  18. Schoepe, Daniel; Hedin, Daniel; Sabelfeld, Andrei: SeLINQ: tracking information across application-database boundaries (2014)
  19. Smol’yaninov, V. Y.: Analysis of the conditions for granting and obtaining access rights in the MS SQL server access control model (2014)
  20. Cugola, Gianpaolo; Margara, Alessandro: Deployment strategies for distributed complex event processing (2013) ioport

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