Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Systems and methods for classifying and transferring information in a storage network

A method and system for reducing storage requirements and speeding up storage operations by reducing the storage of redundant data includes receiving a request that identifies one or more data objects to which to apply a storage operation. For each data object, the storage system determines if the data object contains data that matches another data object to which the storage operation was previously applied. If the data objects do not match, then the storage system performs the storage operation in a usual manner. However, if the data objects do match, then the storage system may avoid performing the storage operation.

System and method for storing redundant information

A method and system for creating an index of content without interfering with the source of the content includes an offline content indexing system that creates an index of content from an offline copy of data. The system may associate additional properties or tags with data that are not part of traditional indexing of content, such as the time the content was last available or user attributes associated with the content. Users can search the created index to locate content that is no longer available or based on the associate attributes.

Method and system for offline indexing of content and classifying stored data

Described in detail herein are systems and methods for single instancing blocks of data in a data storage system. For example, the data storage system may include multiple computing devices (e.g., client computing devices) that store primary data. The data storage system may also include a secondary storage computing device, a single instance database, and one or more storage devices that store copies of the primary data (e.g., secondary copies, tertiary copies, etc.). The secondary storage computing device receives blocks of data from the computing devices and accesses the single instance database to determine whether the blocks of data are unique (meaning that no instances of the blocks of data are stored on the storage devices). If a block of data is unique, the single instance database stores it on a storage device. If not, the secondary storage computing device can avoid storing the block of data on the storage devices.

Block-level single instancing

Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

Systems and methods for using metadata to enhance data identification operations

Disclosed herein is a hierarchical data storage and retrieval system implemented using a computed statistically unique signature for the content of given computer data as its basis. The data storage and retrieval system can be used to catalog computer information for easy indexing and retrieval. The signature is computed by any number of techniques so long as it is able to produce a statistically unique signature, one example being the SHA-1 algorithm. The system is able to reduce the amount of data that is stored and the time required for retrieving the data. Provide a way to move electronic data in an encrypted secure manner that requires the complete data set being moved for decryption of the data. Even if a portion of the data is compromised that portion would still remain secure. The data is encrypted and separated into two or more portions all of which would be needed to decrypt the data. Detailed information on various example embodiments of the inventions are provided in the Detailed Description below, and the inventions are defined by the appended claims.

Conserving file system with backup and validation

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Conserving file system with backup and validation