Quantifying volume, velocity, and variety to support (Big) data-intensive application development.
Rustem DautovSalvatore DistefanoPublished in: IEEE BigData (2017)
Keyphrases
- application development
- data intensive
- data management
- end users
- big data
- web applications
- data processing
- application developers
- data access
- development tools
- database management systems
- development process
- database systems
- web services
- cloud computing
- data integration
- data warehousing
- grid computing
- technical support
- information processing
- database
- machine learning
- real world
- data sets
- data warehouse
- lifelong learning
- earth science
- databases