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Biblioqrafik təsvir | Hajirahimova , M.S. About Big Data measurement methodoligies and indicators / M.S. Hajirahimova , A.S. Aliyeva // İnternationa Journal of Modern Education and Science (IJMECS). - 2017. - N: 10, Vol 9. - P. 1-9. | Annotasiya | The digitization of nearly all media and the
increasing migration of social and economic activities to
the İnternet, the development of social networking
technologies, the İnternet of Things and cloud computing
caused rapid increase in the volume of data and the
formation of Big Data paradigm. Big Data involves
technologies and tools for collecting, processing,
analyzing and extracting useful knowledge from
structured and unstructured data of large volumes
generated at high speed by different sources. Increasing
the volume, speed, diversity and value of Big Data began
to play an important role in the creation of social
relationships, competitive advantage and innovative
fields. The development of the information society, the
formation of digital economy, and the application of Big
Data technologies in different spheres of human activity
required the quantitative and qualitative assessment of
Big Data. In this article some approaches relate to the
definition of Big Data have been reviewed.
Methodological approaches and indicators for measuring
Big Data have been researched. At the end, the indicators
have been proposed for the measurement of factors that
affected the growth and development of Big Data. | Elektron variant | Elektron variant |
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