Thursday, November 11th, 2021

Data is the essence of modern business, and it provides important educational insight. It also allows for real-time management of fundamental business operations. As a result, many companies are overwhelmed with mountains of data to manage.

To that end, enters edge computing.

What is Edge Computing?

It’s the practice of processing and analysing data closer to the user location. This means, all the data creation and storage happen where the data is generated, which then eliminates the need to transmit the data to a main data-processing warehouse.

Edge devices (such as your smart watch, and the computers that analyse four-way crossings and traffic flow) need to store and process data locally so that they can generate and share timely insight, and execute necessary commands without much of your effort.



Edge computing offers an additional opportunity to support data security.

Although cloud providers have IoT (Internet of Things) services and specialise in complex analysis, businesses remain concerned about the safety and security of data once it leaves the edge and is transmitted back to the cloud or data centre.

To mitigate that challenge, the data moving back to the network for cloud storage can be secured through encryption.

Data control

Edge computing can be used to keep data close to its source and within the bounds of current data laws, such as the POPI Act, which outlines how data should be stored, processed and exposed.

This can allow raw data to be processed locally, secure sensitive data before sending it to cloud or another primary data centre, which may be located in other legal jurisdictions.


Edge computing is useful where connectivity is unreliable or bandwidth is restricted because of the place’s environmental characteristics. Examples can include oilrigs, ships at sea, remote farms (such as a rainforest).

By processing it locally, the amount of data to be transmitted can be greatly reduced. This requires far less bandwidth, connectivity time and improves productivity.



It’s essential to design an edge distribution system that accommodates poor connectivity and consider what happens at the edge when connectivity is lost. Autonomy, AI and future crisis planning (in the event of connectivity problems) are important for effective edge computing.

For such connectivity issues, we’re specialists in connectivity, data centres, and quick data restoration.


Threats come in many ways: data leaks or breaches, viruses and malware, malicious content, phishing and other scams, browser exploits, etc. Our firewall solutions protect you from security risks that might result in financial or data loss and discredit.

Data Lifecycles

A recurrent disadvantage with data accumulation is that plenty of the records collected are unnecessary.

And as we’ve established with our POPI Act series, a business must firmly decide which data to keep and what to discard. And the data that is reserved must be protected in accordance with business and regulatory policies.

In this case, Quarphix can expertly help with the development and maintenance of robust data infrastructures. We ensure that our clients’ operations are running on secure, stable infrastructure, so that they can channel resources on projects that will propel the business further.

Ultimately, the availability of useful, clean and accurate data for your team and clients increases the agility and exceptional efficiency of your business processes.

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