Watch the first DataBench Virtual BenchLearning!
DataBench project goal is to design a benchmarking process helping European organizations developing Big Data Technologies to reach for excellence and improve their performance, by measuring [...]
DataBench project goal is to design a benchmarking process helping European organizations developing Big Data Technologies to reach for excellence and improve their performance, by measuring [...]
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 [...]
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 [...]
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 [...]
DataBench project conducted a survey on 700 European Businesses in 11 EU Member States to evaluate the level of adoption of Big Data and Analytics solutions in different sized companies and [...]
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 [...]
Organisations rely on evidence from the Benchmarking domain to provide answers on how their processes are performing. There is extensive information on how and why to perform technical benchmarks [...]
This deliverable presents the plan of the data collection activities executed as part of WP4. The general goal of WP4 is to evaluate the impact of BDT (Big Data Technology) on business [...]
The overall objective of DataBench is to provide benchmarks and performance evaluation mechanisms to identify the business impact and industrial significance in Big Data Technologies (BDT) [...]
This project has received funding from the European Horizon 2020 Programme for research, technological development and demonstration under grant agreement n° 780966