Systems and methods for data management of multiple cloud services

Abstract

The disclosed computer-implemented method for data management of multiple cloud services may include receiving, via a visibility application, a command for managing data hosted on a plurality of content sources. The commands from the visibility application may be modified and indirectly routed to the plurality of content sources. The method may include accessing, in response to the command, the plurality of content sources, and collecting and aggregating, from the plurality of content sources, metadata associated with the data. The method may also include analyzing the aggregated metadata. Themethod may further include providing, for presentation by the visibility application, results of the metadata analysis. Various other methods, systems, and computer-readable media are also disclosed.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of U.S. Provisional Application No. 62 / 653,541, filed April 5, 2018, the disclosure of which is incorporated herein by reference in its entirety. Background technique [0003] Companies and end users are increasingly storing and using data on a growing number of platforms and locations, including internally managed on-premises storage solutions, externally managed cloud-based services, or one or more of these mix. Unfortunately, data sources often utilize very different classifications or techniques for storing, classifying, securing, or otherwise managing data. These different methods for managing data can make it especially difficult for companies or end users to consistently and accurately manage data stored on different data sources. For example, companies that use a mixture of on-premises and cloud-based data sources for their data may have difficulty complying with various gove...

AI Technical Summary

Problems solved by technology

These different methods for managing data can make it especially difficult for companies or end users to consistently and accurately manage data stored on disparate data sources

For example, companies that use a mixture of on-premises and cloud-based data sources for their data may have difficulty complying with various government Centralize data management in a manner consistent with regulations such as the European Union's General Data Protection Regulation

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