Patrick Holden

One way to overcome a lot of the previously mentioned challenges and concerns with storing such large amounts of unstructured data is to move it to a public cloud provider. As for the previously discussed challenges of legacy NAS filers, most of those concerns would no longer be applicable. Essentially, you would be paying the cloud provider to worry about all the infrastructure concerns like capacity, performance, uptime, H/W support, and so on.

In prior blog posts, I’ve explained the difference between unstructured, structured, and semi-structured data, and shared the value of unstructured data. In this blog post, I would like to focus on what I believe are the primary barriers preventing organizations from tapping into their unstructured data for analysis.

In my last blog post, I explained the value of unstructured data. In this post, I'd like to define structured and semi-structured data to further explain the meaning of unstructured data.

Everyone has heard about how fast data growth is expanding in our world the past few years. More and more data is being generated, and organizations are being asked to retain that data for longer periods of time. The reason for this data explosion should not be a mystery, as there are multiple popular modern technologies that are at the heart of it. We live in the age of the Internet of Things (IoT), where a dizzying array of machines, devices, and endpoints are connected to the internet and actively collecting, creating, and sharing more and more data.