This document presents the DataBench Toolbox initial architecture. The DataBench Toolbox will include formal mechanisms to ease the process of reusing existing or new big data benchmarks into a common framework that will help stakeholders to find, select, download, execute and get a set of homogenized metrics. The DataBench...
This document proposes an evaluation and monitoring approach for the DataBench Framework based on the current ISO/IEC standards for system and software quality. The developed methodology adapts multiple quality factors implemented using technical metrics in order to assess the DataBench Framework capabilities from different user perspectives. Furthermore, the approach...
The purpose of this deliverable is to present a report of the communications and dissemination activities that have been conducted within M1-M18 of the project’s duration, with the aim of positioning the project among its stakeholders, the BDVA PPP projects, and the Benchmarking Community. A comparative analysis of the...
One of the DataBench project’s central goals is to design, develop and validate a benchmarking process based on highly relevant business metrics to help European organisations evaluate their use of Big Data and Analytics Technologies (BDTs) as they seek to improve their business performance. Based on the Economic, Market...
The contextual complexity around big data is increasing exponentially. Governance and regulation, data volume and data variety, the velocity of transmission and computation, and the potential for adoption of open source technologies are a few of the many challenges that companies are facing in the Big Data environment. In addition, digital...
The DataBench Self-Assessment Tool provides organisations using or planning to use Big Data and Analytics (BDA) with the opportunity to benchmark their business performance against their peers (other companies in the same industry and same company size class). The DataBench Self-Assessment Tool addresses people who are involved, influence, or are highly knowledgeable about their...
The EU High-Level Expert Group on AI (AI HLEG), an independent expert group set up by the European Commission in June 2018, released today a comprehensive and concrete list of recommendations for policy and investment for trustworthy Artificial Intelligence. The document represents the second deliverable of the AI HLEG...
Join the DataBench workshop at the Big Data Value Meet-Up! In May 2018 the European Big Data Value community gathered in Sofia, Bulgaria, in an event organised by the Big Data Value PPP to strengthen collaborations among community members and increasing the visibility and awareness about the PPP in...
This project has received funding from the European Horizon 2020 Programme for research, technological development and demonstration under grant agreement n° 780966
