Innovation and Management of Unstructured Data: Which Type of Deployment to Choose?

With the exponential growth of unstructured data today, many agree that the classic NAS (Network Attached Storage) network model has reached technical and economic limits. In order to be able to stimulate performance and innovation, it is therefore urgent to give IT teams the freedom to use unstructured data in a way that is more suited to the needs of modern businesses. To meet this challenge, we can therefore ask the legitimate question of where this data should be managed – on site, in the cloud or in hybrid mode?

In a context of rapid growth and business development, companies are increasingly relying on unstructured digital assets to be able to innovate. This phenomenon is explained by the production of increasingly voluminous digital content. Today, we see that unstructured data is accelerating, as shown by the research firm IDC, which predicts an 80% increase in unstructured data. This explosion will be felt in particular with the arrival of new applications and new IT services.

The exchange of this unstructured data between teams must be done with confidence and transparency. By enabling access to data through cloud-accessible applications, this transparency adapts digital experiences and innovates resources within a company.

A wide variety of companies at the heart of unstructured data management

For some industries, large format digital content is becoming very important, with high-resolution images that need to be analyzed and recognized, such as movies, animations and games, as well as social media, geo-spatial data, CAD files, etc. It can be crucial for highly qualified employees (doctors, financial analysts, researchers, etc.) to have access to data quickly and efficiently in order to avoid any slowdown in projects or actions.

Nevertheless, a question mark arises: Can enterprises meet the needs of high-performance, data-intensive workloads? With IT teams busy managing poor quality data, it forgets to provide operations teams with the tools they need, such as application services. To do this, there is no need to rewrite or replace the original applications to move the business forward. A redevelopment of the architecture is also not necessary. 

A capacity and performance context in the cloud or on premises

With unstructured data in the cloud, it is easier to use native functions such as AI and Machine Learning, even with decades of data usage and intellectual property stored on old storage systems . However, with a data platform that uses software capable of running the same file system in the cloud and on-premises, data can be shared natively and seamlessly between sites or regions. This means they can share large amounts of information in a short time with unlimited cloud storage and computing capacity, without compromising manageability.

Using a cloud-based file and data platform drives innovation across the enterprise by enabling teams to work together seamlessly, eliminating the limitations of data storage. By using data appropriately, companies can uncover old manipulations and envision entirely new business opportunities, such as long-term trend analysis, machine learning, and predictive maintenance.

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