Seamless database evolution for cloud applications
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
We present DECA (Database Evolution in Cloud Applications), a framework that facilitates fast, robust, and agile database evolution in cloud applications. Successful business requires to react to changing wishes and requirements of customers instantly. In today's realities, this often boils down to adding new features or fixing bugs in a software system. We focus on cloud application platforms that allow seamless development and deployment of applications by operating both the old and the new version in parallel for the time of development/deployment. This does not work if a common database is involved, since they cannot co-exist in multiple versions. To overcome this limitation, we apply current advances in the field of agile database evolution. DECA equips developers with an intuitive Database Evolution Language to create a new co-existing schema version for development and testing. Meanwhile, users can continuously use the old version. With the click of a button, we migrate the database to the new version and move all the users without unpredictable downtime and without the risk of corrupting our data. So, DECA speeds up the evolution of information systems to the pace of modern business.
Details
Original language | English |
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Title of host publication | DATA 2018 - Proceedings of the 7th International Conference on Data Science, Technology and Applications |
Editors | Jorge Bernardino, Christoph Quix |
Publisher | SCITEPRESS - Science and Technology Publications |
Pages | 197-207 |
Number of pages | 11 |
ISBN (electronic) | 9789897583186 |
Publication status | Published - 2018 |
Peer-reviewed | Yes |
Conference
Title | 7th International Conference on Data Science, Technology and Applications, DATA 2018 |
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Duration | 26 - 28 July 2018 |
City | Porto |
Country | Portugal |
External IDs
Scopus | 85071417566 |
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ORCID | /0000-0001-8107-2775/work/142253472 |
Keywords
ASJC Scopus subject areas
Keywords
- Database, Migration, Schema evolution, Seamless deployment