Big Data: Issues and Challenges Moving Forward
American University · George Washington University
Abstract
Big data refers to data volumes in the range of exabytes (1018) and beyond. Such volumes exceed the capacity of current on-line storage systems and processing systems. Data, information, and knowledge are being created and collected at a rate that is rapidly approaching the exabyte/year range. But, its creation and aggregation are accelerating and will approach the zettabyte/year range within a few years. Volume is only one aspect of big data; other attributes are variety, velocity, value, and complexity. Storage and data transport are technology issues, which seem to be solvable in the near-term, but represent longterm challenges that require research and new paradigms. We analyze the issues and challenges as…
Citation impact
- FWCI
- 73.54
- Percentile
- 100%
- References
- 12
Authors
4Topics & keywords
- Big data
- Computer science
- Data science
- Variety (cybernetics)
- Volume (thermodynamics)
- Range (aeronautics)
- Data mining
- Engineering
- Industry, innovation and infrastructure