What is Data Needed for in IoT

By  //  September 25, 2019

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Where should we store so much data? 

The Internet of Things generates gigantic amounts of data. It is estimated that in 2020, there will be 21 billion endpoints connected to the network. Even if we collect, analyze and store only a small part of data from all of these devices it would still be a lot.

Where should we store so much data? 

First thing that comes to mind is probably the cloud due to its accessibility and usability. However, despite these attributes as well as others such as flexibility, security and the possibility of long-term data storage, the cloud is not the only important place for storing resources.

Edge devices will need local storage for both huge amounts of data collected from IoT sensors and for handling real-time analyses.

As an example, let’s take the volume of data generated using IoT in transport: it is estimated that by 2020 every autonomous car on the road will generate 2 petabytes of data per year, and one aircraft even up to 40 TB per day!

It’s easy to get lost when so much data is available—this is where data orchestration platforms come to the rescue.

What to do with stored data?

Information obtained from various sensors can be difficult to analyze. IoT sensors provide information in a multitude of formats, with each packet of information provided by a single sensor being very small. What’s more, the devices are aplenty, which makes operating on a large scale very challenging. 

Luckily there are technologies that may help.

One such technology is telemetry, which allows you to determine the current state of the device, and in combination with advanced analytics present in the organization’s management systems, it enables a very quick comparison with historical values and efficient determination of trends.

Even the basic telemetry parameters delivered from IoT devices are an important value for dynamic company management, because—thanks to modern analytics—it is possible to immediately plan logistics processes, manage deliveries of goods with a short shelf life, as well as determine profitability or dynamic sales depending on the state of the goods.

Don’t let your guard down

Data in IoT comes with huge potential, huge volumes—and huge challenges.

Not only does it have to be stored but also analyzed, aggregated, monitored or in one word—orchestrated. With 25 billion IoT devices to be connected to the network by 2020 and estimated to generate over 1.6 billion terabytes of data, we have to be ready to embrace the Internet of Things and make it work for our businesses.

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