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The I-BiDaaS project aims to empower end-users to utilize and interact with big data technologies more easily.

This innovation corresponds to specification of an end-to-end platform for Big Data as-a-self-service, developed within the I-BiDaaS project.

AEGIS has designed and implemented the AEGIS Advanced Visualization Toolkit that is an extensible software with a wide application scope, ranging from Digital Forensic Analysis to Big Data analytics.

The CSP solver is the heart of the IBM’s Data Fabrication Platform technology. The generated data is the solution of a constraint satisfaction problem created by the Platform engine out of the user defined data model.

This is an open-source implementation of the Alternating Direction Method of Multipliers (ADMM)[1] optimization algorithm that relies on CVXPY[2], a Python-based toolbox for

SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.

BigDataStack will deliver a complete high-performance data-centric stack of technologies as a unique combined and cross-optimized offering that addresses the emerging needs of data operations and applications.

AGORA is the B2B data platform broker of Atos to connect Data Providers and Data Consumers, facilitating the access, acquisition and trade-off of Connected Vehicle and Smart Home data under the standardized data model (CIDM).

Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).

The goal of the DataBench Toolbox is to provide a way of reusing existing big data benchmarking efforts under a common framework, providing therefore a way to select, download and homogenize technical and business indicators.