Big Data : Potential, Challenges and Statistical Implications /
Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-me...
| Main Author: | Hammer, Cornelia |
|---|---|
| Other Authors: | Kostroch, Diane, Quiros-Romero, Gabriel |
| Format: | Journal |
| Language: | English |
| Published: |
Washington, D.C. :
International Monetary Fund,
2017.
|
| Series: | Staff Discussion Notes; Staff Discussion Notes ;
No. 2017/006 |
| Online Access: | Full text available on IMF |
Similar Items
-
Big Data
Published: (2013) -
Big Data Analytics
Published: (2013) -
Big Data Imperatives
by: Mohanty
Published: (2013) -
Big Data in Bioeconomy
Published: (2021) -
Big Data in Context
Published: (2018)