In this project, the aim is to develop a software for streaming data analytics. The input to the software is a set of streaming data resources. The software provides a set of functionalities including statistical analysis, such as counting, aggregating and predictive analytics/data mining functionalities on the streaming data.
The contribution of the project is basically due to analytics capability. The idea is to provide a set of functionalities common for different types of streaming data, and to design/develop an expansible environment with user defined functionalities.
The end-product is a web software involving a server module.
The project is designed for specifically two different data resources, text & numerical based data. Twitter and Yahoo Finance are selected as data providers. However, data sources can be extended as one wants.
What are the abilities of the software?
Self Service Stream Data Analytics Platform got the second place in METU Engineering Day
Frequently asked questions about the project
This project aims to provide a set of functionalities common for different types of streaming data, and to design/develop an expansible environment with user defined functionalities.
There are several projects and tools on Big Data for real time analysis. However, most of these solutions focus on a specific data domain. Therefore, there is a need for generic software that is capable of processing various data domains in real time. Our aim is to fulfill this need by creating a library and a platform for self service data analytics on streaming data.
Twitter is the text base source and Yahoo Finance is the numerical source of the our project, but our project supports other sources if they are text base or numerical.
On the stream data, after analyzing we only keep the results in database. We do not store any private data about the user.
Assoc. Prof. at METU Computer Engineering Department
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Teaching Assistant at METU Computer Engineering Department
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Senior Undergraduate Student at METU Computer Engineering Department
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Senior Undergraduate Student at METU Computer Engineering Department
Interest Areas:
Senior Undergraduate Student at METU Computer Engineering Department
Interest Areas:
Senior Undergraduate Student at METU Computer Engineering Department
Interest Areas:
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