The growth of big data has exposed the bottlenecks and failures of traditional data storage methods, especially with regards to unstructured data. Traditional RAID storage schemes are based on parity, and if more than two drives fail simultaneously, data becomes unrecoverable. RAID is suitable for most data storage requirements. But with the burden that big data places on storage needs, this failure scenario starts to become a real possibility.
Object storage is one way to overcome the failure possibilities that big data exposes with RAID. Object storage addresses these issues, while also providing flexibility, cost-effectiveness, security, and availability—making it ideally suited for hosting unstructured data.
With object storage, data is managed by creating a unique identifier for each item stored. Unlike hierarchically stored data, object storage enables the number of stored items to grow beyond the limits of traditional storage systems, while still maintaining the integrity and consistency of the data. Object stores also protect every piece of data placed on them by design. No other backup or copy of the data is needed, which provides strong data protection.
To learn more about object storage and how it can benefit your organization, check out this three-part video tech talk below. In video one, I’ll cover a basic background, describe how object storage works, and explain the underlying technologies that make it possible. Video two dives into the details and benefits of object storage within the IT environment. Finally, video three provides some use cases of object storage.