We live in a world of data explosion thanks to the adoption of new technologies. Investment in data can now be compared to investment in infrastructure and it’s no secret that data impacts industries tremendously. At the forefront of data generation is the IoT which is slowly shaping the future of this data-driven era by generating never before seen amounts of it.
Gartner estimates that revenue generated from IoT or “Internet of Things” products and services will exceed $300 billion by 2030. IoT has been called the next technological revolution that will force change in both companies and technology. Let’s explore this emerging trend and see how it affects data.
The Internet of Things means huge and continuous data streaming into our storage centers. One of the changes that will be affected is the equipping of data centers to handle the heterogeneous data. This will require continuous expansion which is why most organizations are opting for Platform as a Service (PaaS) to store data instead of actual on site infrastructure.
This need for storage has led to the growth of cloud-based solutions like PaaS which offer scalability, flexibility, and even compliance. Cloud storage options can be private, public, or hybrid which is a combination of the other two.
Having adequate storage is just a small part of the whole equation. New technologies have to be adapted to cope with data influx and processing. Planning will focus on network, disk, and even compute power which are needed to take care of the data. Technology experts insist that the most important part of data technology is receiving events from IoT connected devices.
These devices should be connected on a common network and must have the ability to send messages to a message broker via a clarified protocol.
The types of devices that comprise the IoT varies. This means there’s a big data security risk. Any attack could go beyond damaging just the data to the devices themselves. To prevent, data from the IoT will require organizations to make important changes to their data security measures.
With time, an unmanageable number of devices will be connected to networks. Proper network segmentation, multi-layered security systems, and even audits will go a long way in enhancing data security. Devices should be assigned uncompromised and unchanged identification for verification purposes.
Not all data is created equal but properly analyzing it is. Most organizations admit that extracting something valuable from IoT data is challenging without a proper analytics platforms. As data and analytics go hand in hand, the IoT will once again influence how analytics are done. Companies will not only handle huge volumes of data but also have to be ready to act on it.
A good analytics infrastructure should be based on three things: performance, the right size of infrastructure, and future growth projections and preparedness. Servers dedicated to individual customers greatly boost performance while hybrid cloud storage take care of infrastructure and growth depending on the kind of data you want to store.
The continuous growth of IoT means that if you are to be part of this new age of technology, you must be prepared to embrace change in how you accommodate data and its sources. There are still a number of challenges with IoT, the biggest being control. How do you set up a control server, tell your devices what to do, or even make sense out of the data they are collecting? To become widely accepted, new solutions will need to simplify the complexity.