* Information Classification and Management
Data-classification best practices
By Bill Reed
Corporate efforts to secure data, comply with regulations, tier storage and meet new legal-discovery demands depend on having a good data-classification method in place.
Traditional classification methods that rely on file-system metadata lack comprehensive content visibility, because the Common Internet File System for Windows and the Network File System for Unix offer no more than eight metadata summaries for classification, such as file name, directory name, file size, type and modified or access dates.
These basic solutions are proving inadequate to address IT’s requirements for accurate data classification.
That has spurred the emergence of a market segment called Information Classification and Management. These tools offer advanced features such as file-path metadata parsing, in-file content visibility, context category classification, file-classification tagging and policy-based management and tracking.
Unfortunately, some of these solutions still suffer from serious performance, scalability, flexibility and capability issues because of their foundational architectures, namely relational databases and/or enterprise search engines.
For more on this story, please click here.
