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The Hyperscale Data Center: A Solution for Big Data Storage

The Internet of Things (IoT), Artificial Intelligence (AI), and the connected world are bringing in a new age of data transformation. The digital universe is expanding rapidly, with 79-zettabytes of data generated worldwide in 2021 and this amount is expected to double by 2025. According to a recent study by Verified Market Research, the hyperscale data center market is valued at $95 billion USD in 2022 and projected to reach $500 billion USD by 2030. Organizations can no longer rely on traditional data centers and storage solutions. They need a hyperscale data center for big data storage that will support their digital transformation journey.

What is a Hyperscale Data Center?

A hyperscale data center is a large-scale data center designed to support major cloud computing applications through high-capacity computing infrastructure. Hyperscale data center design uses a modular approach to serve large chunks of end-users, who are generating massive amounts of data at any given time. They are designed to scale up and down quickly based on the demand of the business. A traditional data center is a facility used to house computer systems, typically for commercial purposes. It is also referred to as a computer center or server farm. Hyperscale data centers are designed to support major cloud computing applications through high-capacity computing infrastructure for resiliency and maximum uptime.

Why is the demand for hyperscale data centers increasing?

Larger enterprises are growing their operations in the cloud, generating significant amounts of data that need to be stored. The growing demand for digital transformation is driving up the need for more computing power. This has made companies looking for distributed architectures, offering higher availability and resiliency. An increased number of devices is generating massive amounts of data that need to be stored in the data center. A number of companies are implementing AI and Machine Learning (ML) technologies to drive their business. High-end applications are also generating an immense amount of data. All of these generate massive amounts of data that needs to be processed and stored in the data center. Data center operators are also trying to reduce their costs by investing in more efficient architectures. This

has led to an increase in the number of distributed architectures. A distributed architecture allows companies to improve the availability and resiliency of their applications.

Benefits of hyperscale data centers for big data storage

Big data storage is one of the critical components of every organization’s digital transformation journey. The explosion of data has shifted the focus towards a more scalable storage architecture to manage the growing volume of data. Here are the benefits of hyperscale data centers for big data storage

  • Enhanced scalability – One of the key benefits of hyperscale data centers for big data storage is greater scalability. You can expand or contract your capacity as per the demand of the business. This helps you manage your costs effectively.
  • High availability – Another benefit of hyperscale data centers for big data storage is high availability. It helps in ensuring maximum uptime.
  • High security – A data center is one of the most critical components of an organization’s IT infrastructure. It holds all the critical data, including customer information, product designs, financial records, etc. Organizations require a data center that is highly secure to safeguard sensitive data. A hyperscale data center provides high security due to the following reasons:
    • Dynamic environment – A hyperscale data center is designed to support high-end applications that generate copious amounts of data. It is designed to scale up and down quickly based on the demand of the business. This ensures that data stays safe even in times of peak demand.
    • Shared resources – A hyperscale data center is built on the principle of shared resources. It utilizes a modular approach to serve large chunks of end-users, who are generating massive amounts of data.
    • Low latency – A hyperscale data center is designed to provide low latency. It uses special network designs, advanced hardware and software, and innovative cooling technologies to reduce latency. This enables organizations to process data more quickly and in real-time, which is critical for companies, especially in the financial services and healthcare space.

Key takeaways

The digital universe is expanding rapidly, with the global volume of data set to double at least through 2025. Organizations can no longer rely on traditional data centers and storage solutions. They need a hyperscale data center for big data storage that will support their digital transformation journey. It is designed to scale up and down quickly based on the demand of the

business. A data center is one of the most critical components of an organization’s IT infrastructure. It holds all the critical data, including customer information, product designs, financial records, etc.

Organizations require a data center that is highly secure to safeguard sensitive data. A hyperscale data center provides high security due to the following reasons: it is designed to support high-end applications that generate copious amounts of data, it is designed to scale up and down quickly based on the demand of the business, it shares resources among large chunks of end-users, it provides low latency, and it is highly secure due to its physical security features.

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