IoT & Big Data
The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
IoT has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS), micro services and the internet. The convergence has helped tear down the silo walls between operational technology and information technology, allowing unstructured machine-generated data to be analysed for insights that will drive improvements.
Expertise on IoT hardware:
- Motes and Sensors
- Operating Systems (Ex: Contiki)
- Networking Protocols (Ex: 6LoWPAN)
On the other hand, Big Data enables real-time systems monitoring, management, optimization and anticipation. It offers the potential cities to obtain valuable insights from the large amount of data. The management of big data in a continuously expanding network gives rise to non-trivial concerns regarding data collection, efficiency, data processing, analytics, and security. To address these concerns, researchers at Ritwik Software Technologies Pvt. Ltd. have examined the challenges associated with the successful deployment of IoT.
The key challenge is visualising and uncovering insights from various types of data (structured, unstructured, images, contextual, dark data, real-time) and in context of the applications. We at Ritwik believe that deriving intelligence from Big Data using artificial Intelligence technologies is the key enabler for smarter devices and a connected Smart World.
The explosive growth in the number of devices connected to the Internet of Things (IoT) and the exponential increase in data consumption reflects how the growth of big data perfectly overlaps with that of IoT framework.