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Cloud data centers are indisputably one of the greatest technological advances of all time. Technology, however, is a famously (or notoriously) fast-moving industry. That means cloud data centers are always developing. With that in mind, here is a quick guide to some of the key future trends in cloud data centers.

For some businesses, either the cloud or an on-premises data center is clearly the right choice. For many, both have their uses. With that in mind, here is a quick overview of on-premises data centers vs cloud computing and the factors you should consider when choosing a solution.

Instead of choosing between the public cloud, the private cloud, and an on-premises data center, businesses are increasingly choosing to combine all three technologies. Done properly, this can give them the best of all worlds.

Personal privacy and business confidentiality have become two of the biggest considerations of modern society. Both privacy and confidentiality depend on effective security, including effective network security.

At a micro level, the potential risks in data center network security are, however, continually evolving. For example, DoS attacks became DDoS attacks. DDoS attacks then transformed from attacks run directly by humans to botnets launching automated attacks that leveraged known vulnerabilities in server protocols.

Modern data centers typically hold vast quantities of data (big data). This will generally include personal data and highly sensitive business data. Probably at least some of this data will be required for critical applications. This means that security has to be a top consideration for all modern data centers.

Given that data is so valuable, it follows that big data needs strong protection against threats both internal and external. This means that real-time monitoring systems are essential for threat detection. It can often be very beneficial to use AI-powered solutions.

The term “big data storage” refers to the storage of vast quantities of data. Big data storage typically depends on data centers as it requires very demanding infrastructure and processes….

Big data workloads, as the name suggests, are workloads that involve large quantities of data. Consequently, they place very high demands on data center infrastructure. Furthermore, these demands will only increase as the use of big data increases.