Authors:
Hourieh Khalajzadeh
1
;
Andrew J. Simmons
2
;
Mohamed Abdelrazek
3
;
John Grundy
1
;
John Hosking
4
and
Qiang He
5
Affiliations:
1
Faculty of Information Technology, Monash University, Australia
;
2
Applied Artificial Intelligence Institute (A2I2), Deakin University, Australia
;
3
School of Information Technology, Deakin University, Australia
;
4
Faculty of Science, University of Auckland, New Zealand
;
5
School of Software and Electrical Engineering, Swinburne University of Technology, Australia
Keyword(s):
Big Data Analytics, Big Data Modeling, Big Data Toolkits, Domain Specific Visual Languages, End-user Tools.
Abstract:
We present BiDaML (Big Data Analytics Modeling Languages), an integrated suite of visual languages and supporting tool to help end-users with the engineering of big data analytics solutions. BiDaML, our visual notations suite, comprises six diagrammatic notations: brainstorming diagram, process diagram, technique diagrams, data diagrams, output diagrams and deployment diagram. BiDaML tool provides a platform for efficiently producing BiDaML visual models and facilitating their design, creation, code generation and integration with other tools. To demonstrate the utility of BiDaML, we illustrate our approach with a real-world example of traffic data analysis. We evaluate BiDaML using two types of evaluations, the physics of notations and a cognitive walkthrough with several target end-users e.g. data scientists and software engineers.