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Storing Large Amounts of Data

May 18, 2018 By mcadmin

Storing Large Amounts of Data

From sensors to smart phones, internet-connected devices are constantly collecting and transmitting large amounts of data. IoT data typically falls into two categories: large file data, such as images and video, and small file data, such as the data collected by IoT sensors. Large file data is generally accessed sequentially while the data collected by sensors must be accessed randomly. This creates a unique challenge for data storage providers. Datacenters today must be prepared to handle both types of data.

IoT Sensors Collect a Wide Array of Data

Many businesses around the world have already begun implementing IoT solutions into their daily operations. Connection to the IoT enables businesses across a wide range of industries to increase efficiency and profitability, while improving employee morale and retention. IoT solutions use a variety of sensors to monitor equipment, temperatures, inventory, and other factors that could potentially affect normal operation.

The large amount of data collected by IoT devices is changing the way that data storage is handled. This is both necessary and important for future deployments.

Data Storage on the Cloud

The constant stream of IoT data collected by a variety of sources requires zettabytes of storage. Data is stored on the cloud, where analytics are performed. This helps identify anything out of the ordinary. Alerts are sent to notify users in real-time of potential problems.

Although the data generated by connected devices is believed to simply go straight to the cloud, what actually happens is far more complex. Even if 5G networks were available everywhere and at all times, there isn’t always enough bandwidth to push all that data to the cloud in real time.

The cloud is ubiquitous and elastic. It has analytics tools that can be used to identify secrets hidden deep within large amounts of data. However, real-time analytics are not always possible on the cloud. Occasionally, analytics are run on the edge of the cloud, in what is commonly referred to as the “fog”. More and more smart objects are equipped with the capability to analyze and respond to a wide range of situations. This helps bridge the gap between collection and storage of data.

Whether you are looking to store data on the cloud, the inner edge or the outer edge, it’s crucial you have the right storage solution. Mint Controls’ datacenters provide adequate and reliable storage for the large amounts of data collected by our IoT devices. Our datacenters provide storage for both large file sequential and small file random data. Please contact us for details.

 

 

 

 

 

 

Filed Under: IoT News Tagged With: cloud, cloud services, cloud storage, data, data storage, datacenters, IoT, IoT data storage

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