Veritas Technologies LLC

Wasim Ilkal

Bhushan Sudhakar Pandit

Vishal Bajpai

Namita S Agrawal

Krishna Ghodke

Sachin Raut

Various automated data flow tracking techniques can involve obtaining metadata identifying the data items from multiple data sources and using that information to identify the relationships among the data items. This information can then be provided to users. For example, a method can involve receiving a query; accessing metadata, which identifies data items generated by multiple data sources; identifying a set of responsive data items from among the available data items; identifying one or more relationships between the data items in the set of responsive data items, and responding to the query with information identifying the set of responsive data items and the one or more relationships.

Automated data flow tracking

Techniques for determining ownership of files and/or email messages are disclosed. In one embodiment, the techniques may be realized as a method including determining a distribution of a plurality of email messages within a file; selecting a preset number of email messages based on the determined distribution of the plurality of email messages within the file; extracting metadata from each of the preset number of email messages; classifying each of the preset number of email messages based on the extracted metadata; determining an owner of each of the preset number of email messages based on the classification of each email message by analyzing the metadata of each of the preset number of email messages; calculating statistics for the preset number of email messages based on the determined owner of each of the preset number of email messages; and assigning ownership to the file based on the calculated statistics.

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Pune, India

Wasim Ilkal