D1.1 Industry Requirements with benchmark metrics and KPIs

The DataBench project aims to bridge the gap between technical and business benchmarking of Big Data and Analytics applications. The requirements discussed in this report are the result of the first analysis performed in the project on existing Big Data Benchmarking tools, from the interaction with BDVA (Big Data...

DataBench project finishes its first year of activity with successful results

The DataBench project addresses a significant gap in the current benchmarking community’s activities, by providing certifiable benchmarks and evaluation schemes of Big Data technologies performance of high business impact and industrial significance. DataBench is fostering the adoption of a common benchmarking toolset to help big data practitioners and BDV...

Highlights from ICT 2018

 ICT 2018 took place in Vienna on 4-6 December 2018. This research and innovation event focused on the European Union’s priorities in the digital transformation of society and industry and presented an opportunity for the people involved in this transformation to share their experience and vision of Europe in...

Invited talks at IEEE Big Data conference 2018

Excellent news to share! DataBench will be present at Bench 2018 and BPOD 2018 during the upcoming IEEE Big Data conference 2018 in Seattle (10-13 December) with two invited talks. Arne Berre, SINTEF, will present the DataBench Framework and the project work in supporting the Benchmarking Community. 2018 International Symposium on...

DataBench @ ICT 2018: Meet us at the BDV PPP village

DataBench will be at the Big Data Value PPP village at ICT 2018 between 4-6 December! The Big Data Value PPP is a partnership between the European Comission and the Big Data Value Association with the objective of creating a functional Data Market and Economy to allow Europe to play...

DataBench @ ICT 2018: Impacts of data-driven AI in business sectors

On December 5 DataBench will be involved in the networking session “Impacts of data-driven AI in business sectors” (h. 10:00-10:45, room L4) organized by the Big Data Value and Robotics PPP at ICT2018. Session description Artificial intelligence has experienced an incredible boom over recent years. With the digitalization of...

ETP4HPC and BDVA-PPP joint position statement “The Technology Stacks of High Performance Computing and Big Data Computing: What they can learn from each other”

As HPC and Big Data increasingly converge, ETP4HPC and BDVA-PPP  regularly collaborate to align their roadmaps. Most recently, they jointly produced a white paper: The Technology Stacks of High Performance Computing and Big Data Computing: What they can learn from each other. This document feeds the discussion regarding current strengths and differences between the...

BDVA position statement on data-driven AI

Artificial Intelligence (AI) has a tremendous potential to benefit European citizens, economy and society, and already demonstrated its potential to generate value in various applications and domains. From an industrial point of view, AI means algorithm-based and data-driven computer systems that enable machines and people with digital capabilities such...

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