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TU Berlin and DFKI Vision Paper on Data Science Ecosystem Agora was Accepted for Publication in SIGMOD Record

A vision paper by researchers of the Database Systems and Information Management group (DIMA) at TU Berlin and the Intelligent Analytics for Massive Data (IAM) [1] group at DFKI was accepted for publication in SIGMOD Record. In their paper the authors describe their vision towards a unified ecosystem that brings together data, algorithms, models, and computational resources and provides them to a broad audience.

The Paper “Agora: Bringing Together Datasets, Algorithms, Models and More in a Unified Ecosystem [Vision]” by Jonas Traub, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz and Volker Markl presents the vision of the data management system Agora that operates in a heavily decentralized and dynamic environment where data, algorithms, and even compute resources are dynamically created, modified, and removed by different stakeholders. It aims to offer a flexible exchange of assets among users and thereby addresses the problem of a lock-in effect to the few data management system providers that currently can afford the large investments into the multitude of assets necessary for such a system.

A preprint version of the paper (PDF) [2] is available for download.

More information on SIGMOD Record is available at https://sigmodrecord.org/ [3].

 

 

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