Abstract
Big data and analytics are increasingly used in different domains to gain insights and to improve decision-making. Developing big data analytics solutions is a complex task involving multidisciplinary teams and users-with no data science and programming background-to professional data scientists and software engineers. Different stakeholders work with a variety of data types, tasks and concepts in different languages from high-level domain concepts to low level programming languages and technical concepts. In order to advance the level of abstraction beyond low-level data analysis technical details, we demonstrate our BiDaML tool. BiDaML brings all stakeholders around one tool to specify, model and document their big data applications using a novel set of domain-specific visual languages (DSVLs).
Original language | English |
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Title of host publication | Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), VL/HCC 2020 |
Editors | Michael Homer, Felienne Hermans, Steven Tanimoto, Craig Anslow |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Number of pages | 4 |
ISBN (Electronic) | 9781728169019 |
ISBN (Print) | 9781728169026 |
DOIs | |
Publication status | Published - 2020 |
Event | IEEE Symposium on Visual Languages and Human-Centric Computing 2020 - Virtual, Dunedin, New Zealand Duration: 10 Aug 2020 → 14 Aug 2020 https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/9124617/proceeding (Proceedings) https://conf.researchr.org/home/vlhcc2020 (Website) |
Publication series
Name | Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC |
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Publisher | Institute of Electrical and Electronics Engineers, Inc. |
Volume | 2020-August |
ISSN (Print) | 1943-6092 |
ISSN (Electronic) | 1943-6106 |
Conference
Conference | IEEE Symposium on Visual Languages and Human-Centric Computing 2020 |
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Abbreviated title | VL/HCC 2020 |
Country | New Zealand |
City | Dunedin |
Period | 10/08/20 → 14/08/20 |
Internet address |
Keywords
- BiDaML
- big data analytics
- domain-specific visual languages