– TRUE UNSTRUCTURED DATA MANAGEMENT IN A MULTI‑VENDOR, MULTI‑CLOUD WORLD
By now it is common knowledge that unstructured data is growing out of control. So the question everyone is asking is, how do you truly manage unstructured data in the multi‑vendor, multi‑cloud environments that are becoming the norm?
Datadobi Query Language (DQL) is a query framework that identifies unstructured data within a data lake, giving your DevOps team the ability to script intricate queries for every data mining task.
Climate change is no longer a distant threat for business leaders. Because of this, Environmental, Social, and Governance (ESG) policies are now high on the agenda of almost every major corporation in the world.
In some of my most recent blog posts, I discussed how the top unstructured data concerns for enterprises today include maximizing scarce data storage resources, controlling carbon footprint, reducing data risk, and extracting value from data.
Learn about the difference between a snapshot and copies and how Datadobi’s StorageMAP solution can simplify data migration from one enterprise NAS to another.
In the last several years, many customers have shared a frustratingly common secret about their file and object unstructured data. Prior to contacting Datadobi, most of them had been operating with limited knowledge of what types of unstructured data they have, where it is, and even how much they’re consuming on-premises or in the cloud.