Mining and Energy Resourses
The whole process of mining is extremely complicated and involves many types of equipment, technology, and science (IT, engineering and geology). Moreover, companies need to ensure the safety of miners and proactively manage compliance. Data analytics helps improve processes and reduce operational costs and losses. Energy efficiency can help to curtail production of energy to meet growth in demand.This in turn can help to reduce CO2 emissions. To achieve this goal we need to understand and improve the energy efficiency at both producer and consumer ends. ICT enabled smart energy grids and devices are being installed globally to measure energy consumption and improve energy efficiency. These smart devices produce large volumes of data. The data generated by different devices is in different formats. For the purpose of knowledge discovery, this data needs to be collected, stored and analysed. The extracted insights from the analysis need to be visualised for easy and effective understanding. The challenge gets even tougher when data needs to be collected and analysed in real time. Then with the time, volume of data and scope of analysis is expected to increase. In order to respond to the above mentioned challenges, a highly scalable and flexible data analysis platform is required that can automate the whole process. This platform needs to be very cost effective for global adaptation.Sample Architecture
![Cinque Terre](img/MiningArc.png)