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Pregled bibliografske jedinice broj: 1056061

APPLYING SQL DATABASE QUERY TO ACCESS SQL SERVER 2019 – VISUAL STUDIO 2019


Šimović, Vladimir; Varga, Matija
APPLYING SQL DATABASE QUERY TO ACCESS SQL SERVER 2019 – VISUAL STUDIO 2019 // Journal of Agronomy, Technology and Engineering Management, 2 (2019), 1; 15-34 (međunarodna recenzija, pregledni rad, znanstveni)


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Naslov
APPLYING SQL DATABASE QUERY TO ACCESS SQL SERVER 2019 – VISUAL STUDIO 2019

Autori
Šimović, Vladimir ; Varga, Matija

Izvornik
Journal of Agronomy, Technology and Engineering Management (2620-1755) 2 (2019), 1; 15-34

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni

Ključne riječi
RDBMS, relational data model, relational schema, SQL, data manipulation language, dana management, relational algebra operators, database protection

Sažetak
Working with the database is about retrieving data, adding data, modifying, deleting and preserving the integrity of the data, backing up the database, allowing simultaneous access to the database for multiple users, verifying the identity of users, etc. The database in Croatian has been created entirely by author named: "Applying SQL Complex Queries to Access Data in a Database Using MS SQL Server 2019". The goals of the paper are: (1) to show certain capabilities of MS SQL Server 2019, (2) to show ways of querying using aggregate functions, (3) to show how to set nested queries i.e. subqueries, (4) to warn about possible database corruption, (5 ) present the ability to collect data from multiple relationships, (6) show and explain, by way of example, basic concepts in databases such as relation, relational schema, RMP model, etc., (7) present more complex queries to quickly find specific data in a database, to (8) demonstrate how to delete data on MS SQL Server 2019, (9) explain ways to protect data from unauthorized and simultaneous access to data.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo, Informacijske i komunikacijske znanosti

Napomena
This journal is indexed in following databases: DOAJ, Google Scholar, Scopus, Serial Solutions, ISI.



POVEZANOST RADA


Ustanove:
Veleučilište s pravom javnosti Baltazar Zaprešić,
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Vladimir Šimović (autor)

Avatar Url Matija Varga (autor)

Citiraj ovu publikaciju:

Šimović, Vladimir; Varga, Matija
APPLYING SQL DATABASE QUERY TO ACCESS SQL SERVER 2019 – VISUAL STUDIO 2019 // Journal of Agronomy, Technology and Engineering Management, 2 (2019), 1; 15-34 (međunarodna recenzija, pregledni rad, znanstveni)
Šimović, V. & Varga, M. (2019) APPLYING SQL DATABASE QUERY TO ACCESS SQL SERVER 2019 – VISUAL STUDIO 2019. Journal of Agronomy, Technology and Engineering Management, 2 (1), 15-34.
@article{article, author = {\v{S}imovi\'{c}, Vladimir and Varga, Matija}, year = {2019}, pages = {15-34}, keywords = {RDBMS, relational data model, relational schema, SQL, data manipulation language, dana management, relational algebra operators, database protection}, journal = {Journal of Agronomy, Technology and Engineering Management}, volume = {2}, number = {1}, issn = {2620-1755}, title = {APPLYING SQL DATABASE QUERY TO ACCESS SQL SERVER 2019 – VISUAL STUDIO 2019}, keyword = {RDBMS, relational data model, relational schema, SQL, data manipulation language, dana management, relational algebra operators, database protection} }
@article{article, author = {\v{S}imovi\'{c}, Vladimir and Varga, Matija}, year = {2019}, pages = {15-34}, keywords = {RDBMS, relational data model, relational schema, SQL, data manipulation language, dana management, relational algebra operators, database protection}, journal = {Journal of Agronomy, Technology and Engineering Management}, volume = {2}, number = {1}, issn = {2620-1755}, title = {APPLYING SQL DATABASE QUERY TO ACCESS SQL SERVER 2019 – VISUAL STUDIO 2019}, keyword = {RDBMS, relational data model, relational schema, SQL, data manipulation language, dana management, relational algebra operators, database protection} }

Uključenost u ostale bibliografske baze podataka::


  • DOAJ
  • Google Scholar
  • Scopus
  • Serial Solutions
  • ISI





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