Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/14782| Title: | aFlux: Graphical flow-based data analytics |
| Authors: | Mahapatra, Tanmaya |
| Keywords: | Computer Science Flow-Based Programming Graphical Pipelines Mashup tools Graphical Spark Programming Graphical Flink programming |
| Issue Date: | Nov-2019 |
| Publisher: | Elsevier |
| Abstract: | aFlux is a graphical flow-based programming tool designed to support the modelling of data analytics applications. It supports high-level programming of Big Data applications with early-stage flow validation and automatic code generation for frameworks like Spark, Flink, Pig and Hive. The graphical programming concepts used in aFlux constitute the first approach towards supporting high-level Big Data application development by making it independent of the target Big Data frameworks. This programming at a higher level of abstraction helps to lower the complexity and its ensued learning curve involved in the development of Big Data applications. |
| URI: | https://www.sciencedirect.com/science/article/pii/S2665963819300077 http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/14782 |
| Appears in Collections: | Department of Computer Science and Information Systems |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.