Tagged with: big data


PROPOSAL

Are you interested in working with a big data open source project? You are welcome to conduct your thesis/project in Apache Wayang. Apache Wayang is the first cross-platform framework that allows users to specify their task/query in a system-agnostic manner and Wayang will determine which is the best system(s) to execute this task with the goal of optimizing performance. For a general overview …
Supervisors: Zoi Kaoudi
Semester: Fall 2024
Tags: big data, database, cross-platform data processing, open source, Apache

PROPOSAL

Are you interested in working with a big data open source project and help the environment? You are welcome to conduct your thesis/project in Apache Wayang. Apache Wayang is the first cross-platform framework that allows users to specify their task/query in a system-agnostic manner and Wayang will determine which is the best system(s) to execute this task with the goal of optimizing performance. …
Supervisors: Zoi Kaoudi
Semester: Fall 2024
Tags: big data, database, cross-platform data processing, open source, Apache

PROPOSAL

Do you like open-source systems? Would you like to experience working with an open-source system? Do you want to learn about big data research in practice? Then, this project is for you! We have a number of thesis/project topics under the umbrella of Apache Wayang. Wayang is the first cross-platform framework that allows users to specify their task/query in a system-agnostic manner and Wayang will …
Supervisors: Jorge Quiané
Semester: Fall 2022
Tags: big data, database, cross-platform data processing, open source, Apache

PROPOSAL

Do you have the feeling that only a few players are controlling the AI game? Would you like to make AI technology accesible to everyone? Then, come and help us to make Agora a reality! We have a number of thesis/project topics under the umbrella of the Agora project. This project aims at building a unified data infrastructure for supporting AI ecosystems that bring together data, algorithms, …
Supervisors: Jorge Quiané
Semester: Fall 2022
Tags: big data, AI ecosystems, compliant data processing, federated analytics, data markets