The Internet of Things (IoT) is on the verge of bringing an immense revolution in the way we interact with “things.” All this is going to happen using the large amounts of data that many smart devices are going to produce and that is going to change the way Big Data is handled. Let us understand how.
Big Data Storage
The first thing that comes to mind with an increase in the adoption of IoT is the amount of data that will be generated. Accompanying such large amounts of data comes the responsibility of storing it from multiple channels. Big Data organizations are prepping up to move to the PaaS (Platform as a Service) model so that they have access to a flexible and scalable method to handle IoT data.
Big Data Security
Increased data requires increased security. IoT will create a network of varied devices that will also lead to a pooling of varied types of data. IoT Data Security will be a new challenge put across with Big Data Security professionals. If any security loophole happens, the entire network of connected devices will be put at risk of manipulation.
The verification and authentication of devices that are added to the IoT network will become vital. It will become the task of Big Data organizations to create a checkpoint to audit the devices that are added to the network.
Big Data Technologies
IoT is supposed to connect devices over Wi-Fi and Bluetooth. The data passing between the devices will also be sent over these channels and there must be leak-proof technologies implemented to capture this immense amount of data. Protocols must be put in place to offer a controlled mechanism of data receiving and storing. Mosquitto is a very popular protocol and the adoption of Hadoop to store the data generated by IoT networks is also in process.
Big Data Analytics
IoT and Big Data are interconnected with each other. IoT is going to generate huge amounts of data that must be analyzed if the IoT networks are going to operate accurately. The networks may generate some redundant data and that is why it becomes important for Big Data organizations to spend their analytics power on the data that is important. So, a new element of data categorization will be added so that the Big Data Analytics tools deliver better performance.
Conclusion
IoT devices are going to send in truckloads of data for analysis to Big Data organizations. Right now, Big Data companies are only just becoming capable of handling this immense amount of data in a highly secure manner. The change we are expecting on the Big Data front would be the adoption of flexible and scalable solutions to enhance security, data storing, and data analysis capabilities.
IoT is the new “thing” of this era and its wide adoption is sending signals to Big Data organizations to be ready to handle data of varied types coming in from different types of devices.
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