Table 7 Subset of the application domains and stakeholders for big data systems
From: Software architectures for big data: a systematic literature review
Domain | Subdomain | Citation # | Stakeholders | Concerns |
|---|---|---|---|---|
Industrial applications | Environmental sustainability | 3 | Designers, Managers | High performance computation, large scale data storage, complex, voluminous, heterogenous, incomplete dataset |
Production tracking | 13 | Production Management | Accurately tracking and determining the order of the production | |
Shop Managers | Â | |||
Users | Â | |||
Suppliers | Â | |||
Manufacturers | Â | |||
Manufacturing | 19 | Manufacturers | Response time, near real time analysis, accurate forecasts | |
Environmental sustainability | 41 | Enterprise Manager | Accurate and complete data acquisition, data availability, monitor and track in real time, multi source heterogenous data | |
Strategic Support | Â | |||
Customer | Â | |||
Manufacturer | Â | |||
Smart cities | Smart city experiment testbed | 5 | Customers | Heterogenous data formats, sensors and protocols. High throughput |
Suppliers | Â | |||
Manufacturers | Â | |||
9 | Platform Designers | Real-time data, diversity of different data sources. | ||
Surveillance systems | 18 | Business | Â | |
IT | Â | |||
Executives | Â | |||
Smart grid | 42 | Operators, | Scalable user friendly, multiple programming environments | |
Managers | Â | |||
Technical Staff | Â | |||
Social media | Travel advising (More than 30 stakeholders…) | 8 | Customers | Value/Cost |
Reviewers | Â | |||
Business Analysts | Â | |||
Data Scientists | Â | |||
Operation Managers | Â | |||
Collaborators | Â | |||
Engineering Teams | Â | |||
Scientific platforms | Digital libraries for scientific data management | 37 | System Admin | Horizontal and vertical scalability, physical bandwidth, no limitation on data, no prescription (multidisciplinary data use and reuse), immediate data access and public access, scaling and flexible schemas |
Sys. Eng. | Â |