Big Data Analytics and Cloud Data Management
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: closed (15 January 2022) | Viewed by 22732
Special Issue Editor
Interests: big data analytics; machine learning; cloud computing; semantic web; distributed systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Big Data are large, complex, and unprocessed datasets that cannot be processed by traditional applications but can offer knowledge and value if properly analyzed. The application-specific capacity of the machines to compute information per capita has roughly doubled every 14 months in recent years, whereas the world's storage capacity per capita has required roughly 40 months to double during the same time. The exponential growth of data production, the diversity of data sources, along with the improvement of the computational capabilities of hardware have given rise to multifarious challenges of data management related to all seven V’s that are used to describe Big Data, i.e.: volume, variety, velocity, variability, veracity, visualization, value. Such challenges are related to capturing the raw data and storing the raw data and pertinent metadata; analyzing the data and producing new knowledge; sharing data and knowledge; as well as offering services on the data for visualization and exploration. For the storage and processing of Big Data, Cloud Computing seems to be the ideal paradigm, as it offers flexibility for the processing environment, renting resources from cloud providers and inherently distributed services. Hence, cloud data management techniques that are tailored for the processing of Big Data are highly sought after both in the research world and in the industry.
Dr. Verena Kantere
Guest Editor
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Keywords
- Data visualization
- Multi-engine systems
- Approximate query answering
- Data analytics
- Edge and fog computing
- Hybrid clouds
- Heterogeneous data stores
- Big data stream management
- Multi-dimensional data
- Data services
- Data pricing
- Data privacy
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