{"title":"rasdaman","authors":"Vlad Merticariu, Peter Baumann","doi":"10.1145/3274895.3274988","DOIUrl":null,"url":null,"abstract":"We demonstrate the rasdaman (\"raster data manager\") scalable datacube engine in a series of multi-dimensional live scenarios of spatio-temporal datacube analytics, distributed processing in federations, as well as simple, rapid construction of datacubes.","PeriodicalId":330151,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3274895.3274988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
We demonstrate the rasdaman ("raster data manager") scalable datacube engine in a series of multi-dimensional live scenarios of spatio-temporal datacube analytics, distributed processing in federations, as well as simple, rapid construction of datacubes.