About DataBench Project

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 for the specific management and analytics processes, but there is a lack of objective, evidence-based methods to measure the correlation between Big Data Technology (BDT) benchmarks and an organisation’s business benchmarks and demonstrate return on investment (ROI).

The DataBench project addresses this significant gap in the current benchmarking community’s activities, by providing certifiable benchmarks and evaluation schemes of BDT performance of high business impact and industrial significance.

DataBench Outcomes

DataBench will provide the community with important results including…

DataBench Framework

Including a complete set of metrics for BDT assessment.

Multiple Analysis

Assessing the European and industrial significance of the BDT examined by the project.

DataBench Toolbox

A tool to connect and evaluate external initiatives.

DataBench Handbook

Providing guidelines to the use of the project’s results, Framework & Toolbox, describing metrics implementation and benchmarks.

DataBench Toolbox

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 extra mile and derive business KPIs for your organization.

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Deliverables

Deliverable name: DataBench Architecture
Abstract:
This document provides an overview of the DataBench Toolbox Architecture and main functional elements. The DataBench Toolbox aims to be an umbrella framework for big data benchmarking based on existing efforts in the community. It will include features to reuse existing big data benchmarks into a common framework, and will help users to search,select, download, execute and get a set of technical and business indicators out of the benchmarks’ results.The Toolbox is therefore one of the main building blocks of the project and the main interaction point with the users of benchmarking tools. This document provides the architectural foundations and main elements of the tooling support to be used by big data benchmarking practitioners. In this sense, the document gives an overview of the different elements of DataBench ecosystem to contextualize the significance of the Toolbox, as well as details about the different components of the Toolbox identified so far, and hints about their potential implementation.This document is the first deliverable related to the DataBench Toolbox. Updates to the architecture will be provided as integral part of the different releases of the Toolbox expected in the DataBench WP3 lifecycle.


Deliverable name: Project Fiche
Abstract:
At the heart of the DataBench project is the goal to design a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.


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