- FileData Classifier
- FileData Manager
- Technology
FileData Classifier 3.0
The Complete ICM Solution
- Scalable to hundreds of terabytes through multi-server deployment
- Built on Abrevity's patent-pending distributed database technology
- Ultra-fast file scanning, indexing, & content extraction
- Unlimited file tagging
- Easy-to-use file discovery, search and query interface
- Extensive content analysis of hundreds of common file types
- Extract keywords, phrases or patterns (SSN's, credit cards, etc.)
- Comprehensive file movement & policy engine
- Robust reporting and trending capabilities
Now, with FileData Classifier 3.0, IT and business managers can finally gain true control over files and data distributed across heterogeneous storage platforms, including geographically-dispersed enterprise storage environments. Based on Abrevity's scalable metadata-database technology, FileData Classifier (FDC) boasts industry-leading performance and scalability, while supporting a unique combination of content-aware discovery features, comprehensive business value-based classification and tagging, an advanced file movement and policy engine, and enhanced reporting and trending capabilities.
And, by using multiple local FileData Classifier installations, IT can gain visibility into all data throughout the enterprise, regardless of location.
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FileData Classifier addresses the four necessary components of any comprehensive ICM strategy:
Discover: The first step in the information classification and management process is to discover all the data in the environment. This allows IT managers to "discover what they have" and create a rich metadata repository that can be queried. The discovery process continues by adding content visibility based on key words, phrases or patterns contained within files. Detailed Boolean queries are easily created to discover files that are a match. The subsequent results are then ready to be classified, moved, secured or even deleted.
Classify: Once you have found the files that match through the discovery process, the next step is to label or "tag" the files that may be dispersed across multiple locations in the enterprise. The tag becomes an extended attribute associated with the files and a policy or multiple policies can be assigned to the tag. Classification allows enterprises to associate a business value to their data, and create policies pertaining to that value.
Automate: The process of automating Discovery, Classification, and Reporting represents the encapsulation of a data management policy and is then invoked on a set of tagged files. Automation of policy can be accomplished through scheduling an event to run at a specific time or interval.
Report: Robust text or visual based reports can be created based on a tag or any other attribute of a file or set of files. For example, a report can be created for all files containing social security numbers created within the last year and listing who has access rights to view those files. Reporting is powered by Abrevity's patent-pending data modeling technology and optimizes report generation performance, even when reporting on large amounts of data. Reports can be output to any common format including text, CSV, JPEG, HTML or XML.
Using FileData Classifier, selected as a 2006 Product of the Year by Storage Magazine, for storage optimization, information discovery and content-driven archiving substantially lowers the costs, complexities and risks associated with distributed storage environments. Data management policies that reduce storage usage and enable compliance can be automatically and globally enforced. Companion software, Abrevity FileData Manager™, enables global policy enforcement for distributed enterprises. FileData Classifier together with FileData Manager forms the only ICM solution suite architected to meet stringent enterprise-class requirements for scalability, flexibility, reliability and performance, while enforcing file management policies based on business value.

