Akil Sevim, Mehnaz Tabassum Mahin, Tin Vu, Ian Maxon, A. Eldawy, M. Carey, V. Tsotras
{"title":"A brief introduction to geospatial big data analytics with apache AsterixDB","authors":"Akil Sevim, Mehnaz Tabassum Mahin, Tin Vu, Ian Maxon, A. Eldawy, M. Carey, V. Tsotras","doi":"10.1145/3486189.3490018","DOIUrl":null,"url":null,"abstract":"There is immense potential with spatial data, which is even more significant when combined with temporal or textual features, or both. However, it is expensive to store and analyze spatial data, and it is even more challenging with the combined features due to the additional optimization requirements. There are numerous successful solutions for big spatial data management, but they do not well support non-spatial operations. The options for the systems are even smaller for the open sources systems, and there are not a handful of options that provide good coverage of care about the spatial and non-spatial operations. This tutorial introduces Apache AsterixDB, a scalable open-source Big Data Management System, which supports standard vector spatial data types as well as non-spatial attributes, e.g., numerical, temporal, and textual. The participants will get hands-on experience on how Apache AsterixDB can efficiently process complex SQL++ queries that require multiple special handling by a team from its kitchen.","PeriodicalId":258964,"journal":{"name":"Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3486189.3490018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
There is immense potential with spatial data, which is even more significant when combined with temporal or textual features, or both. However, it is expensive to store and analyze spatial data, and it is even more challenging with the combined features due to the additional optimization requirements. There are numerous successful solutions for big spatial data management, but they do not well support non-spatial operations. The options for the systems are even smaller for the open sources systems, and there are not a handful of options that provide good coverage of care about the spatial and non-spatial operations. This tutorial introduces Apache AsterixDB, a scalable open-source Big Data Management System, which supports standard vector spatial data types as well as non-spatial attributes, e.g., numerical, temporal, and textual. The participants will get hands-on experience on how Apache AsterixDB can efficiently process complex SQL++ queries that require multiple special handling by a team from its kitchen.