Data & Knowledge

What when and how to choose a real-time processing framework in a telecom scenario. Identified issues, potential problems and proposed solutions.

The Internet of Things and the Networked Society, with billions of devices connected and generating data, implies massive numbers of data sources and analytics receivers distributed across the globe. This is translated into a scenario where data will literally come from everywhere. At the device level, this may not seem to be a problem. However, if we step out and analyze the impact of the “massively” distributed scenario, we find that the existing analytics architectures and algorithms need to evolve to fulfil its requirements.

A Journey from 8K records/sec to 88K records/sec and towards 1 Million records/sec.

Is there really a sport called Data Science? Meet our Machine Learning team and find out what they are up to in their spare time.