Home
Texera is a system to support collaborative, ML-centric data analytics as a cloud-based service using GUI-based workflows. It supports scalable computation with a parallel backend engine, and enables advanced AI/ML techniques. "Collaboration" is a key focus, and we want to enable an experience similar to existing services such as Google Docs, but for data analytics, especially for people with different backgrounds, including IT developers and domain scientists with limited programming background.
-
Many data analysts need to spend a significant amount of effort on low-level computation to do data wrangling and preparation, and want to use latest AI/ML techniques. These tasks are especially tough for non-IT users.
-
Many workflow-based analysis systems are not parallel, making them not capable of dealing with big data sets.
-
Cloud-based services and technologies have emerged and advanced significantly in the past decade. Emerging browser-based techniques make it possible to develop powerful browser-based interfaces, which also benefit from high-speed networks.
-
Existing big data systems support little interaction during the execution of a long running job, making them hard to manage once they are started.
- Provide data analytics as cloud services;
- Provide a browser-based GUI to form a workflow without writing code;
- Allow non-IT people to do data analytics;
- Support collaborative data analytics;
- Allow users to interact with the execution of a job;
- Support huge volumes of data efficiently.
The following is a workflow formulated using the Texera GUI in a Web browser. It consists of a workflow of basic operators, such as keyword search, sentiment analysis, and NLP.
Check this video to see Texera in action! (Texera was formally known as "TextDB" before August 28, 2017.)
- For users, visit Guide to Use Texera.
- For developers, visit Guide to Develop Texera.
This project is supported by the National Science Foundation