Microsoft Technology Licensing, LLC

Eon Io, Ltd.

Ran Mizrachi

Assaf Natanzon

Royi Ronen

Ohad Jassin

Sigal Weiner

Abedelkader Asi

Ron Kimchi

Ofir Ehrlich

Liron Izhaki-Allerhand

Yaniv Ptashnik

Dmitry Kuznetsov

Peleg Kazaz

A system and method for the device may include accessing a database application hosted on a virtual machine, the virtual machine deployed in a computing environment. In addition, the device may include exporting data stored in the database application to a plurality of files, each file utilizing a column-oriented storage format; generating a virtualization backup only of the virtual machine; and generating a data backup of the database application based on the plurality of files.

System and method for backup and restoration of a virtual-hosted database system

Technology is disclosed for providing dynamic identification and extraction or tagging of contextually-coherent text blocks from an electronic document. In an embodiment, an electronic document may be parsed into a plurality of content tokens that each corresponds to a portion of the electronic document, such as a sentence or a paragraph. Employing a sliding window approach, a number of token groups are independently analyzed, where each group of tokens has a different number of tokens included therein. Each token group is analyzed to determine confidence scores for various determinable contexts based on content included in the token set. The confidence scores can then be processed for each token group to determine an entropy score for the token group. In this way, one of the analyzed token groups can be selected as a representative text block that corresponds to one of the plurality of determinable contexts. A corresponding portion of the electronic document can be tagged with a corresponding context determined based on the analyzed content included therein, and provided for output.

Dynamic extraction of contextually-coherent text blocks

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Mishmar HaShiva, Israel

Ran Mizrachi