New platform to help business tap full potential of big data

January 13, 2016, CORDIS
New platform to help business tap full potential of big data

The EU JUNIPER project was launched in December 2012 to develop, test and evaluate prototype technologies that could aid big data analytical software applications.

Final industrial evaluations of the platform were assessed just before completion of the at the end of November 2015, and the project team believe that the finalised platform has the potential to contribute positively to supporting projected growth of data streams and stored data. Financial and web streaming case studies were used to provide industrial data and data volumes and to effectively evaluate the newly developed technologies.

The results of the project could be of significant benefit to a number of sectors. The term 'big data' describes streams of information that are so large and complex that traditional data processing applications often cannot cope. By finding patterns through using advanced analytics however, new business opportunities and smarter applications could be opened up in numerous fields.

For example, patterns in big data can be analysed to better understand customer behaviour and preferences by including social media data, browser logs and text analytics. Retailers can use big data analytics to optimise their stock based on social media-generated predictive models, while big data analytics can also help machines and devices become smarter and more autonomous (in operating self-driving cars, for example).

There is therefore huge business potential in effectively handling big data. A key issue up to now however has been how to effectively manage such large and complex information streams, with online information outstripping network capacity. The internet now performs millions of tasks, from online banking to tsunami monitoring, and data traffic volumes are expected to grow twelve-fold by 2018.

Typically big data has been processed by two main components. Firstly, a data generator to produce large streams of information that need to be filtered prior to storage in order to reduce volume and secondly an application that can reply to an end users request; a financial transaction seeking authorisation from a banking database for example. However, real time constraints are often placed on big data streams and on processing, i.e. the user needs an answer quickly.

The JUNIPER project sought to address this challenge by developing a real time platform capable of supporting a wide range of high-performance big data applications. The ultimate goal has been to ensure that demands for information from end users can be met through the exploitation of streaming data sources and stored data.

The project brought together a number of leading industrial organisations involved in the development of products and services that utilise systems, leading software developers and technology companies operating in the field of advanced computing systems.

Explore further: Large-scale analytics system for predicting major societal events described in Big Data Journal

More information: For further information please visit the JUNIPER project website:

Related Stories

Unlocking the potential of big data in the cloud

December 5, 2014

Cloud computing and Big Data are the two top innovation hubs in ICT. Together they have the potential to become pivotal enhancers of social transformation and economic development for many years to come.

Radio astronomy backed by big data projects

April 21, 2015

As the leading edge of the Square Kilometre Array (SKA) project, the Murchison Widefield Array (MWA) radio telescope is at the forefront of the big data challenges facing radio astronomy, presenting and solving issues that ...

Recommended for you

Researchers find tweeting in cities lower than expected

February 20, 2018

Studying data from Twitter, University of Illinois researchers found that less people tweet per capita from larger cities than in smaller ones, indicating an unexpected trend that has implications in understanding urban pace ...

Augmented reality takes 3-D printing to next level

February 20, 2018

Cornell researchers are taking 3-D printing and 3-D modeling to a new level by using augmented reality (AR) to allow designers to design in physical space while a robotic arm rapidly prints the work.


Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.