Seamless database evolution for cloud applications

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

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

OriginalspracheEnglisch
TitelDATA 2018 - Proceedings of the 7th International Conference on Data Science, Technology and Applications
Redakteure/-innenJorge Bernardino, Christoph Quix
Herausgeber (Verlag)SCITEPRESS - Science and Technology Publications
Seiten197-207
Seitenumfang11
ISBN (elektronisch)9789897583186
PublikationsstatusVeröffentlicht - 2018
Peer-Review-StatusJa

Konferenz

Titel7th International Conference on Data Science, Technology and Applications, DATA 2018
Dauer26 - 28 Juli 2018
StadtPorto
LandPortugal

Externe IDs

Scopus 85071417566
ORCID /0000-0001-8107-2775/work/142253472

Schlagworte

Schlagwörter

  • Database, Migration, Schema evolution, Seamless deployment