DanielMao1 / texera

Big Data Analytics Using Interactive Workflows

Texera

Collaborative big data analytics as cloud services using GUI-based workflows.

To use Texera, follow instructions on the Getting Started page

Publications:

• (4/2017) A Demonstration of TextDB: Declarative and Scalable Text Analytics on Large Data Sets, Zuozhi Wang, Flavio Bayer, Seungjin Lee, Kishore Narendran, Xuxi Pan, Qing Tang, Jimmy Wang, Chen Li, ICDE 2017, Best Demo award, PDF, Video.
• (1/2020) Amber: A Debuggable Dataflow system based on the Actor Model, Avinash Kumar, Zuozhi Wang, Shengquan Ni, Chen Li, VLDB 2020 PDF, Video, Slides
• (7/2020) Demonstration of Interactive Runtime Debugging of Distributed Dataflows in Texera, Zuozhi Wang, Avinash Kumar, Shengquan Ni, Chen Li, VLDB 2020 PDF, Video, Slides

Videos

• Texera demo in VLDB 2020
• Amber engine presentation in VLDB 2020

To access a live deployment and do tweet analysis, go to texera.ics.uci.edu/twitter (accessible inside UCI).

Snapshots of the system at work

Texera UI showing a paused workflow

Texera UI showing a completed workflow, summarized metrics and results

Acknowledgements

This project is supported by the National Science Foundation under the grant III 1745673.