Big Data Processing and Analytics in the Era of Extreme Connectivity and Automation
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".
Deadline for manuscript submissions: closed (30 May 2019) | Viewed by 14856
Special Issue Editors
Interests: data stream mining; big data; advanced analytics; bio-inspired optimization algorithms and applications; business intelligence; e-commerce; biomedical applications; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; ambient intelligence; decision support systems
Special Issues, Collections and Topics in MDPI journals
Interests: marketing; neuroscience; futurecast
Interests: thick data analytics; web mining; learning analytics; social networking; web services; interoperability; software agility development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Big data is a term that has risen to prominence describing data that exceeds the processing capacity of conventional database systems. McKinsey and company announced the big data revolution in 2011 and suggested that the age of relational database management systems and SQL-based data manipulation and access methods was drawing to a close because those technologies could not keep pace with what McKinsey projected was a coming deluge of new and complex data sets, for most organizations in most industries. This projection is getting more challenging with the lack of mechanisms for managing all of the metadata associated with the big data “data pool” — where data sets reside, how they entered the pool, what data engineering flows they are implicated in, what kinds of algorithms and decision-making processes the data sets are suitable (and unsuitable) for, what kinds of governance, regulatory and compliance restrictions are associated with the data sets, and so forth. This technology is tagged today as big data connectivity, which is a growing area of importance as the world is entering the new Industry 4.0 with the increasing reliance on extreme connectivity and automation. The heterogeneity of the big data landscape is characterized not only by the distributed nature and connectivity of its most prominent technologies, but also by their underlying architectures. There is great need for mechanisms for expressing, managing, versioning, executing and monitoring data engineering work streams and models and algorithms consuming data from the data pool and from data warehouses as well as mechanisms for orchestrating data flows that cross the logical boundary between the data pool. This Special Issue is an attempt to study big data and analytics in the era of extreme connectivity and automation that relies on technologies like IoT, big data connectivity, blockchain, named data networking and artificial intelligence.
Prof. Simon James FongProf. Sabah Mohammed
Prof. Luiz Moutinho
Prof. Jinan Fiaidhi
Guest Editors
Manuscript Submission Information
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Keywords
- Big Data Automation
- Extreme Automation and Connectivity
- Blockchain
- Internet of Things
- Connected Data Analytics
- Named Data Networking
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