November 14, 2019 – 9:00-16:30 – Solvay Library, Brussels Big Data Analytics helps organizations, communities and individuals harness the value of growing amounts of data. According to recent forecasts, in 2025, the digital economy will multiply by 10 the volume of data now generated. While, on the one hand, this...
European Big Data Value Forum 2019, 14-16 October 2019, Helsinki The European Big Data Value Forum (EBDVF) is the main event of the European Big Data and Data-Driven AI Research and Innovation community. In 2017 the Big Data Value Association (BDVA) and the European Commission (DG CNECT) joined forces...
Based on existing efforts in Big Data benchmarking and enabling inclusion of new benchmarks that could arise in the future, the DataBench Toolbox provides a unique environment to search, select and deploy Big Data benchmarking tools, giving the possibility to generate unified technical metrics and, most importantly, going the...
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...
This project has received funding from the European Horizon 2020 Programme for research, technological development and demonstration under grant agreement n° 780966
