Autodesk had one patents in cloud during Q4 2023. Autodesk Inc’s patent filed in Q4 2023 introduces a method and system for managing data through property sets, commit graphs, and change sets. Property set objects are created, stored in a commit graph to track changes, and represented by reversible change sets specifying basic operations applied to transition between states. GlobalData’s report on Autodesk gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Autodesk grant share with cloud as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
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Application: High frequency data management (HFDM) (Patent ID: US20230367767A1)
The patent filed by Autodesk Inc. describes a method and system for managing data through property sets, commit graphs, and change sets. The system involves creating property sets with property set objects, storing them in a commit graph that tracks changes between states of the objects, and representing changes between commit nodes with reversible change sets. The commit graph includes metadata for each commit node, a merge operation represented as a directed acyclic graph, and organization into branches to track the history of changes made on the data.
Additionally, the system allows for the partitioning of data into multiple repositories, storing information about the data structure in change sets, and providing materialized views and histories for random access to data at different commit nodes. The method involves defining property sets, storing them in a commit graph, representing changes in change sets, and utilizing materialized views and histories to access data at any point in its history. The system can be implemented in a cloud distributed network with software development kits enabling distributed operations. The method also includes storing the commit graph in a key-value store optimized for write performance and defining SDKs for managing data in a distributed manner.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
