TEADAL
Trustworthy, Energy-Aware federated DAta Lakes along the computing continuum
Don’t miss our 1st workshop in March!
Our vision
Provide key cornerstone technologies to create stretched data lakes spanning the cloud-edge continuum and multi-cloud, providing privacy, confidentiality, and energy-efficient data management.
Privacy/confidentiality-aware data cataloging for stretched data lakes
To leverage solutions as open-source catalogs that connect federated catalogs, that governs the data on hybrid cloud, enforcing the policies on the platform level.
Trustworthy data sharing via federating data-lakes
To provide tools and mechanisms to define a shared data governance where privacy/confidentiality emerges as a key point.
Efficient data lakes in computing continuum with reduced energy footprint
To innovate the current data lakes with a control plane for handling the non-functional aspects of workloads across the computing continuum, while considering energy footprint.
Trustworthy, Energy-Aware federated DAta Lakes along the computing continuum
Latest news
Data Friction: Physics-Inspired Metaphor to Evaluate the Technical Difficulties in Trustworthy Data Sharing
Governing the Complexities of Metadata Governance in Data Lakes: The Role of KCONG in TEADAL
Cornerstone technologies of TEADAL – a workshop
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