Facing Big Data System Architecture Deployments: Towards an Automated Approach Using Container Technologies for Rapid Prototyping

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dc.contributor.authorVolk, Matthias
dc.contributor.authorStaegemann, Daniel
dc.contributor.authorIslam, Ashraful
dc.contributor.authorTurowski , Klaus
dc.date.accessioned2021-12-24T18:15:40Z
dc.date.available2021-12-24T18:15:40Z
dc.date.issued2022-01-04
dc.description.abstractWithin the last decade, big data became a promising trend for many application areas, offering immense potential and a competitive edge for various organizations. As the technical foundation for most of today´s data-intensive projects, not only corresponding infrastructures and facilities but also the appropriate knowledge is required. Currently, several projects and services exist that not only allow enterprises to utilize but also to deploy related technologies and systems. However, at the same time, the use of these is accompanied by various challenges that may result in huge monetary expenditures, a lack of modifiability, or a risk of vendor lock-ins. To overcome these shortcomings, in the contribution at hand, modern container and task automation technologies are used to wrap complex big data technologies into re-usable and portable resources. Those are subsequently incorporated in a framework to automate the deployment of big data architectures in private and limited resources.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.743
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/80083
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBusiness Intelligence, Business Analytics and Big Data: Innovation, Deployment, and Management
dc.subjectarchitecture
dc.subjectautomation
dc.subjectbig data
dc.subjectdeployment
dc.subjecttechnology
dc.titleFacing Big Data System Architecture Deployments: Towards an Automated Approach Using Container Technologies for Rapid Prototyping
dc.type.dcmitext

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Business Intelligence, Business Analytics and Big Data: Innovation, Deployment, and Management