{"title":"Building a Collaborative Data Analytics System: Opportunities and Challenges","authors":"Zuozhi Wang, Chen Li","doi":"10.14778/3611540.3611580","DOIUrl":null,"url":null,"abstract":"Real-time collaboration has become increasingly important in various applications, from document creation to data analytics. Although collaboration features are prevalent in editing applications, they remain rare in data-analytics applications, where the need for collaboration is even more crucial. This tutorial aims to provide attendees with a comprehensive understanding of the challenges and design decisions associated with supporting real-time collaboration and user interactions in data analytics systems. We will discuss popular conflict resolution technologies, the unique challenges of facilitating collaborative experiences during the workflow construction and execution phases, and the complexities of supporting responsive user interactions during job execution.","PeriodicalId":54220,"journal":{"name":"Proceedings of the Vldb Endowment","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Vldb Endowment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14778/3611540.3611580","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Real-time collaboration has become increasingly important in various applications, from document creation to data analytics. Although collaboration features are prevalent in editing applications, they remain rare in data-analytics applications, where the need for collaboration is even more crucial. This tutorial aims to provide attendees with a comprehensive understanding of the challenges and design decisions associated with supporting real-time collaboration and user interactions in data analytics systems. We will discuss popular conflict resolution technologies, the unique challenges of facilitating collaborative experiences during the workflow construction and execution phases, and the complexities of supporting responsive user interactions during job execution.
期刊介绍：
The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.
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