THE UNSTRUCTURED DATA REVOLUTION: MUST ADAPT TO SURVIVE HOW BUSINESSES
DataQuest|April 2023
To make the most of unstructured data, organizations need to rethink how they store, manage, and extract value from this data. A fresh approach is needed that takes into account the unique characteristics of unstructured data, such as its volume, variety, and velocity.
Minu Sirsalewala
THE UNSTRUCTURED DATA REVOLUTION: MUST ADAPT TO SURVIVE HOW BUSINESSES

AMY FOWLER 
VP and General Manager, FlashBlade, Pure Storage

In today's organizations unprecedented data-driven world, are faced with an amount of data. The rise of mobile technologies, cloud computing, machine learning, and loT, and emerging technologies such as Al and VR-based applications are resulting in an exponential growth of unstructured data. According to Gartner, unstructured data growth rates have hit 30% per year, which means total unstructured data volumes will almost quadruple by 2027.

On the one hand, unstructured data can provide valuable insights that can help businesses innovate and adapt to changing market conditions. On the other hand, unstructured data is inherently more difficult to manage than structured data, which has traditionally been the focus of data management efforts.

Businesses that can successfully leverage unstructured data will be able to innovate and adapt to future conditions with more agility and less wasted resources.

To make the most of unstructured data, organizations need to rethink how they store, manage, and extract value from this data. Fortunately, there are advanced data storage technologies available that can help organizations manage unstructured data more effectively. For example, flash storage arrays and cloud-based storage solutions provide high-performance and scalable storage options that can accommodate the large volumes of unstructured data that organizations are dealing with.

Amy Fowler, VP and General Manager, FlashBlade, Pure Storage in conversation with Minu Sirsalewala, Executive Editor - Special Projects, Dataquest.

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