Managing Large Multidimensional Array Hydrologic Datasets: A Case Study Comparing NetCDF and SciDB

Management of large hydrologic datasets including storage, structuring, indexing and query is one of the crucial challenges in the era of big data. This research originates from a specific data query problem: time series extraction at specific locations takes a long time when a large multidimensional dataset is stored in non-chunked NetCDF...

Comparing NetCDF and a multidimensional array database on managing and querying large hydrologic datasets: A case study of SciDB

Like many ICT related domains, hydrology enters the era of big data and managing large volume of data is a potential issue facing hydrologists. However at present, hydrologic data research is mostly concerned with data collection, interpretation, modelling and visualization. Management and query of large datasets do not draw much interest. The...