Data Classification

Data classification is key to an effective data management solution. Classification is the logical grouping of like data through the definition of common attributes.

Why classify data?
If data can be assigned to a logical data group through the user-defined identification of common attributes, then it can be managed via Data Service Policies, without manual intervention. For example, as it is accessed less frequently, data can be moved from the primary storage tier into the Phoenix Information Repository, thereby freeing up valuable primary storage resources. As it is moved into the Information Repository, data is consolidated onto storage resources reserved by class parameters. Here, additional Data Service Policies can be deployed to manage the data throughout its lifecycle, according to classification-based service level objectives and requirements.

Phoenix excels at data classification, handling, and consolidation. Its robust suite of ingest tools enables targeted data in primary storage to be identified and processed into the Information Repository. Data class attributes, including content key words and phrases, can be easily defined and implemented via a broad range of filters.

The Information Repository is based on a distributed architecture. Its grid-like design and on-resource indexing make storage provisioning easy. Using the product’s centralized management console, media pools may be reserved for class-defined usage. Storage may be added, moved, and even removed from the environment without compromising the system’s ability to track and manage data down to the file level.