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Trustworthy, Energy-Aware federated DAta Lakes along the computing continuum

Amrita Prasad

01 September 2022

31 August 2025

EC funded project

TEADAL will enable the creation of trusted, verifiable, and energy-efficient data flows, both inside a data lake and across federated data lakes, based on a shared approach for defining, enforcing, and tracking data governance requirements with specific emphasis on privacy/confidentiality. The proposed stretched data lake, i.e., deployed in the continuum, will be based on an innovative control plane able to exploit all the controlled/owned resources, across clouds and at the edge, to improve data analysis.

The resulting capabilities of stretched data lakes also provide the essential basis for the creation of trustworthy mediatorless federations of data lakes to foster an effective data exchange among organizations while preserving privacy and confidentiality constraints without any imposed, and often not acceptable, third-party coordinator. Finally, by applying to data governance the principles of circular economy, i.e., to reuse data, application, and computation resources belonging to the data lake federation, will enable the creation of platforms for more sustainable data analytics.


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