– 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?
Blog
How to Understand Your Company’s CO2 Consumption — And Do Something About It
Your company’s data can consume a huge amount of energy, even if you use the cloud. Learn how StorageMAP manages unstructured data storage and reduces your carbon footprint.
Datadobi’s Unstructured Data Management Innovation Continues with StorageMAP 6.2
Orphaned Data Risk and Cost Can Now Be Eliminated with Multi-Vendor, Multi-Cloud Unstructured Data Management Platform. Pushing orphaned data to the back burner – i.e., data that still sits on an organization’s network or systems but was created and owned by a now deactivated employee – is never a good idea. Yet, we work with some…
Exploring DQL – The Hidden Jewel of StorageMAP
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.
Reduce Carbon Footprint with StorageMAP
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.
How StorageMAP Puts IT Leaders in the Driver’s Seat of Cost Control
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.
