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  Disaster Recovery and Backup: Cloud computing often includes robust backup and disaster recovery
                 options. Data is stored across multiple servers, so even in the event of hardware failure or a disaster, data
                 can be quickly recovered from another location, ensuring business continuity.

                Collaboration: Cloud platforms often come with collaborative tools, allowing teams to work together
                 on projects in real-time, regardless of their physical location. This increases productivity and streamlines
                 workflows for businesses and organisations.

                Security: Many cloud providers invest heavily in advanced security measures, such as encryption, multi-
                 factor authentication, and regular security audits, to protect user data. This can offer better security than
                 many organisations could achieve with on-premise systems.
              Limitations of Cloud Computing

              Some challenges associated with cloud computing include:

                Dependence on Internet Connectivity: Cloud computing relies on Internet access. If users experience
                 slow or no Internet connectivity, they may not be able to access their data or applications, which can hinder
                 productivity.
                Data Privacy and Security Concerns: Storing data on the cloud means relying on third-party providers to
                 protect it. There are concerns about data breaches, unauthorised access, or misuse of personal information.
                 Some businesses may be hesitant to store sensitive or confidential information on the cloud.

                Ongoing Costs: While cloud services can reduce upfront costs, the pay-as-you-go model can lead to
                 ongoing costs that may become expensive in the long run, particularly for businesses that need to scale up
                 storage or resources significantly.

                Downtime  and  Reliability  Issues: Cloud services  are generally reliable, but they are not immune  to
                 outages. If a cloud provider experiences downtime, users may temporarily lose access to their data and
                 applications, which can impact business operations.
                Vendor Lock-In: When you move your data and applications to a specific cloud provider, it can be hard to
                 switch to another provider later. This is because different cloud platforms often use their own unique systems

                 and technologies. As a result, transferring your data from one provider to another can be complicated and
                 costly.
                Limited  Bandwidth  for  Large  Data: While cloud storage  is  convenient, uploading and downloading
                 large volumes of data can be time-consuming, especially if the Internet connection isn’t fast enough. This

                 limitation may be problematic for organisations that deal with large files or need fast access to their data.

              Edge Computing
              Edge  computing  refers to  data  analysis that  happens directly  on  a  device,  in  real-time.  Unlike  cloud

              computing – which involves sending data to a remote data centre or public cloud for processing – edge
              computing processes data locally, near its source.
              In simple terms, edge  computing  means capturing, storing,  processing, and  analysing data  close to the
              user or client, instead of relying on a centralised server or data warehouse. This approach allows for faster
              decision-making, improved performance, and better data security. It is best suited for real-time applications

              such as IoT, autonomous vehicles, and smart devices, with examples like smart cameras and industrial IoT.


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