Applying big data paradigms to a large scale scientific workflow: Lessons learned and future directions.
Silvina Caíno-LoresAndrei LapinJesús CarreteroPeter G. KropfPublished in: Future Gener. Comput. Syst. (2020)
Keyphrases
- future directions
- lessons learned
- big data
- scientific workflows
- data intensive
- cloud computing
- massive data
- case study
- data management
- data analysis
- big data analytics
- vast amounts of data
- data analytics
- current challenges
- current status
- data science
- scientific data
- social media
- business intelligence
- data warehousing
- knowledge discovery
- data processing
- real world
- service oriented
- massive datasets
- web services
- databases
- information processing
- data warehouse
- knowledge representation