Database migration in code-free format
dc.citation.epage | 38 | |
dc.citation.issue | 2 | |
dc.citation.journalTitle | Вимірювальна техніка та метрологія | |
dc.citation.spage | 34 | |
dc.contributor.affiliation | Lviv Polytechnic National University | |
dc.contributor.affiliation | Cracow University of Technology | |
dc.contributor.author | Dzelendzyak, Ulyana | |
dc.contributor.author | Nikulshyn, Danylo | |
dc.contributor.author | Pavelchak, Andriy | |
dc.contributor.author | Moroz, Leonid | |
dc.coverage.placename | Львів | |
dc.coverage.placename | Lviv | |
dc.date.accessioned | 2024-03-11T08:54:06Z | |
dc.date.available | 2024-03-11T08:54:06Z | |
dc.date.created | 2023-02-28 | |
dc.date.issued | 2023-02-28 | |
dc.description.abstract | Database migration is a critical process for businesses that need to maintain their data integrity and functionality as they transition to new technologies or systems [7]. The paper has researched the concept of database migration in a code-free format, including the benefits and challenges of this approach. Code-free migration tools provide an interface that allows users to drag and drop data and automate the migration process. This eliminates the need for manual coding and speeds up the migration process. Code-free solutions also provide users with visual representations of the data, making it easier to understand and manage. However, these tools require careful consideration of data quality and security to ensure that the migration process is successful. The article provides different types of code-free migration tools, including data mapping software and drag-and-drop interfaces, and how they can be used to facilitate the migration process [3]. Best practices are provided for successful code-free database migration, including testing and validation. | |
dc.format.extent | 34-38 | |
dc.format.pages | 5 | |
dc.identifier.citation | Database migration in code-free format / Ulyana Dzelendzyak, Danylo Nikulshyn, Andriy Pavelchak, Leonid Moroz // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 2. — P. 34–38. | |
dc.identifier.citationen | Database migration in code-free format / Ulyana Dzelendzyak, Danylo Nikulshyn, Andriy Pavelchak, Leonid Moroz // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 2. — P. 34–38. | |
dc.identifier.doi | doi.org/10.23939/istcmtm2023.02.034 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/61430 | |
dc.language.iso | en | |
dc.publisher | Видавництво Львівської політехніки | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Вимірювальна техніка та метрологія, 2 (84), 2023 | |
dc.relation.ispartof | Measuring Equipment and Metrology, 2 (84), 2023 | |
dc.relation.references | [1] Ain El Hayat S., Bahaj M. Modeling and transformation from temporal object relational database intoMongoDB: Rules. Advances in Science, Technology and Engineering Systems. 2020, No. 5 (4), 618–625. DOI: https://doi.org/10.25046/aj050473. | |
dc.relation.references | [2] AndreasWittig,MichaelWittig, “AmazonWeb Services in Action”, Second Edition, Manning Publications Co., 2018. | |
dc.relation.references | [3] CRUD RESTAPIwith Node.js, Express, and PostgreSQL, 2022. [Online]. Available: https://blog.logrocket.com/crudrest-api-node-js-express-postgresql/ | |
dc.relation.references | [4] Ji L. F., Azmi N. F.M. The development of a new data migration model for NOSQL databases with different schemas in the environment management system. Journal of Environmental Treatment Techniques, No. 8 (2), 787–793, 2020. http://www.jett.dormaj.com/docs/Volume8/Issue%202/The%20Development%20of.pdf | |
dc.relation.references | [5] Michael J. Hernandez, “Database Design for Mere Mortals: 25th AnniversaryEdition”, Addison-WesleyProfessional, 2020. | |
dc.relation.references | [6] PostgreSQL, 2023. [Online]. Available: https://www.postgresql.org/docs/ | |
dc.relation.references | [7] Preston Z., Practical Guide to Large Database Migration. CRC Press, USA, 2021. https://www.routledge.com/Practical-Guide-to-Large-Database-Migration/Zhang/p/book | |
dc.relation.references | [8] Real-Time AWS Cloud Migration Monitoring, 2023. [Online]. Available: https://www.striim.com/blog/real-timeaws-cloud-migration-monitoring/ | |
dc.relation.references | [9] SteveM. Burnett, “AmazonWeb Services For Beginners”, US, chapt.1, 10–16, 2021. https://www.studypool.com/documents/23651179/aws-for-beginners | |
dc.relation.referencesen | [1] Ain El Hayat S., Bahaj M. Modeling and transformation from temporal object relational database intoMongoDB: Rules. Advances in Science, Technology and Engineering Systems. 2020, No. 5 (4), 618–625. DOI: https://doi.org/10.25046/aj050473. | |
dc.relation.referencesen | [2] AndreasWittig,MichaelWittig, "AmazonWeb Services in Action", Second Edition, Manning Publications Co., 2018. | |
dc.relation.referencesen | [3] CRUD RESTAPIwith Node.js, Express, and PostgreSQL, 2022. [Online]. Available: https://blog.logrocket.com/crudrest-api-node-js-express-postgresql/ | |
dc.relation.referencesen | [4] Ji L. F., Azmi N. F.M. The development of a new data migration model for NOSQL databases with different schemas in the environment management system. Journal of Environmental Treatment Techniques, No. 8 (2), 787–793, 2020. http://www.jett.dormaj.com/docs/Volume8/Issue%202/The%20Development%20of.pdf | |
dc.relation.referencesen | [5] Michael J. Hernandez, "Database Design for Mere Mortals: 25th AnniversaryEdition", Addison-WesleyProfessional, 2020. | |
dc.relation.referencesen | [6] PostgreSQL, 2023. [Online]. Available: https://www.postgresql.org/docs/ | |
dc.relation.referencesen | [7] Preston Z., Practical Guide to Large Database Migration. CRC Press, USA, 2021. https://www.routledge.com/Practical-Guide-to-Large-Database-Migration/Zhang/p/book | |
dc.relation.referencesen | [8] Real-Time AWS Cloud Migration Monitoring, 2023. [Online]. Available: https://www.striim.com/blog/real-timeaws-cloud-migration-monitoring/ | |
dc.relation.referencesen | [9] SteveM. Burnett, "AmazonWeb Services For Beginners", US, chapt.1, 10–16, 2021. https://www.studypool.com/documents/23651179/aws-for-beginners | |
dc.relation.uri | https://doi.org/10.25046/aj050473 | |
dc.relation.uri | https://blog.logrocket.com/crudrest-api-node-js-express-postgresql/ | |
dc.relation.uri | http://www.jett.dormaj.com/docs/Volume8/Issue%202/The%20Development%20of.pdf | |
dc.relation.uri | https://www.postgresql.org/docs/ | |
dc.relation.uri | https://www.routledge.com/Practical-Guide-to-Large-Database-Migration/Zhang/p/book | |
dc.relation.uri | https://www.striim.com/blog/real-timeaws-cloud-migration-monitoring/ | |
dc.relation.uri | https://www.studypool.com/documents/23651179/aws-for-beginners | |
dc.rights.holder | © Національний університет “Львівська політехніка”, 2023 | |
dc.subject | Database migration | |
dc.subject | Code-free format | |
dc.subject | Representations of the data | |
dc.subject | Web application | |
dc.subject | Cloud technologies | |
dc.subject | Lambda function | |
dc.subject | Cloud platform | |
dc.title | Database migration in code-free format | |
dc.type | Article |
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