The EU-funded JUNIPER project, launched in December 2012, has released its final evaluations which will help businesses unlock the full potential of Big Data.
The JUNIPER project was launched to test, develop and evaluate prototype technologies which could help in the creation of big data analytical software applications. JUNIPER’s industrial evaluations were assessed right before completion in November 2015 and the research team believes that the platform can positively contribute to the growth of stored data and data streams.
Big Data describes large, complex streams of information which conventional data processing applications cannot cope with. Patterns are established with advanced analytics which opens up new business opportunities and better applications.
JUNIPER’s team used financial and web streaming case studies to extract industrial data in large volumes and evaluate new technologies.
Data patterns included customer behavior and preferences using social media data, text analytics and browser logs. Big data can help retailers optimize their stock depending on the predictive model. It could also help machines and devices to become more autonomous, for instance, self-driving cars.
Big Data processing has two vital components. Firstly, a data producer generates large streams of information which is filtered before storage for reduced volume and secondly an application replies to the end users’ request.
The potential for big data is immense however the process of handling large streams of information has been a key challenge in data analytics. With online information outstripping network capacity and performing millions of tasks, internet traffic volumes are expected to grow twelve-fold by 2018.
The JUNIPER project was developed to address this challenge by creating a real time platform which can support a variety of high-performance big data applications. The end goal of JUNIPER is to ensure that information demands from end users are met with real time exploitation of streaming data sources and stored data.
Excerpts from CORDIS. Image courtesy of Forbes