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

Project description

DEENESFRITPL

Key technologies for stretched data lakes spanning the cloud-edge continuum

The growing amount of data generated at the edge and the need for data sharing have led to the adoption of the data lake paradigm. The EU-funded TEADAL project will deliver key technologies that create stretched data lakes spanning the cloud-edge continuum and multi-cloud, enabling reliable, accurate and fast decision-making. These technologies ensure privacy, confidentiality and energy-efficient data management by using a shared approach to define, enforce and track these requirements while balancing energy reduction. The project aims to establish trusted, verifiable and energy-efficient data flows across a mediatorless data lake federation, facilitating data sharing and enhancing decision-making capabilities across various industries.

Objective

Data analytics is one of the main cornerstones in many enterprise architectures and the data lake paradigm is more and more adopted to assist organizations in taking reliable, accurate, and fast decisions. Although the initial approaches to address these issues saw the data lakes as the evolution of data warehouses to be implemented on-premises, cloud providers are nowadays including in their offerings platforms able to setup and run them. Nevertheless, the increasing amount of data generated at the edge and the need to enable the data sharing among organizations are posing new challenges in terms of performances, energy efficiency, and privacy/confidentiality which can be properly addressed with data lakes which are deployed along the whole computing continuum as well as building a federation of such data lakes.
The ambition of TEADAL is to 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. The TEADAL data lake technologies will enable trusted, verifiable and energy efficient data flows, both in a stretched data lake and across a trustworthy mediatorless federation of them, based on a shared approach for defining, enforcing, and tracking privacy/confidentiality requirements balanced with the need for energy reduction.

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Programme(s)

Topic(s)

Call for proposal

HORIZON-CL4-2021-DATA-01

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Funding Scheme

HORIZON-RIA - HORIZON Research and Innovation Actions

Coordinator

UBIWHERE LDA
Net EU contribution
€ 1 103 000,00
Address
Travessa senhor das barrocas 38
3800 075 Aveiro
Portugal

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Yes
Region
Continente Centro (PT) Região de Aveiro
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Other funding
€ 0,00

Participants (14)

Partners (2)

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Last update: 15 September 2022

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Permalink: https://cordis.europa.eu/project/id/101070186

European Union, 2023