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Datahas exploded over the last decade.
People generate more than 402.74 million terabytes of new unique data every day in 2024.
Amounting to 147 zettabytes of data this year.
The choice between these two approaches is becoming increasingly critical due to the sheer volume of data being produced.
Processing data centrally can lead to significant transmission delays, impacting decision-making times.
This latency makes edge computing, which processes data closer to its source, an attractive solution.
By reducing the distance data needs to travel, edge computing can enhance real-time processing and responsiveness.
However, despite its advantages, edge alone isnt enough securityshould be at the forefront of these technological advancements.
Group Vice President & Head of EMEA at Verizon Business.
By processing IoT data closer to devices, edge computing can help enhance bandwidth and deliver near-real-time data.
With more advanced solutions comes a need for more processing power.
With more endpoints and devices at the edge, built-in web connection security is increasingly important.
However, with the promise of more connected devices, especially IoT devices, comes an increased risk.
But its not enough to secure the devices in isolation.
Unlike centralized systems, edge devices operate across diverse environments, increasing exposure to security risks.
Implementing a layered security strategy is critical to address these challenges.
Regular audits and strong governance ensure data stays protected, proving edge computing can balance both innovation and compliance.
Every equipment, every user, and every request must be verified.
By isolating sensitive assets and controlling access, businesses can limit the damage of potential future data breaches.
Centralized data processing can cause significant transmission delays, impacting decision-making times.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
