Cloud Computing & Data Storage

“Whatever you think today is going to be wrong,” says Kava, the Vice President of Data Centers at Google. “The amount of compute power is beyond what we could have imagined a few years ago.”

What you as a leader have to know is the term hyperscale. As its name implies, hyperscale is all about achieving massive scale in computing—typically for big data or cloud computing.

Hyperscale operator CAPEX hits $100bn in the first three quarters of 2020.

Why are the big 6 heavily investing in hyperscale? And how can you make use of the technology for your business?

We will explain in detail during this learning journey how you as a leader can start harnessing the power of your data to fuel business growth by using the technology available today and anticipate the future developments and opportunities for your business.

The volume of data that is created, captured, copied and consumed globally is growing rapidly. This is due to the increased demand for data from users and businesses, who want to use it for a diverse set of applications. The amount of data is expected to continue to grow rapidly over the next five years and beyond, reaching 180 zettabytes in 2025.

One zettabyte is 931.322.574.615,48 gigabytes. 180 zettabytes is one hundred sixty-seven trillion six hundred thirty-eight billion sixty-three million four hundred thirty thousand seven hundred eighty-six and four tenths gigabytes (167.638.063.430.786,40). And this is only the cloud computing storage capacity. Just imagine we would be adding all the local storage of private and corporates servers.

The exponential growth of data, coupled with the fact that the majority of the data in the world today is unstructured, means that we need to rethink how we store data and how we use it. Data is increasingly being used for purposes that extend beyond traditional business intelligence and traditional analytics. In the last few years, new use cases have emerged, such as data for the Internet of Things (IoT), advanced analytics, personalization, and others. In order to serve these new use cases, it is necessary to rethink the value chain of data storage.