Palantir Technologies had 12 patents in big data during Q2 2024. Palantir Technologies Inc filed patents in Q2 2024 for methods to validate output of data processing systems, avoid ingesting entire data sources, and import data from electronic files efficiently. The first patent involves comparing data and schema between different pipelines to generate validation scores. The second patent focuses on associating objects with data fragments in different sources to retrieve only relevant data. The third patent describes assigning file formats, mapping data files to transformation templates, and storing profiles for efficient data importation. GlobalData’s report on Palantir Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Palantir Technologies had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Output validation of data processing systems (Patent ID: US20240211451A1)
The patent filed by Palantir Technologies Inc. describes a method for output validation of data processing systems using data and schema comparisons between different data tables generated by separate data pipelines. The method involves determining data and schema differentiating tables, generating output validation scores based on these tables, and creating a summary that includes both scores. The system allows for comparisons between legacy and target data pipelines, aggregation of data outputs, and customization of weights for a use case aware summary.
The computer-implemented method and system outlined in the patent focus on comparing aggregated data tables from different data pipelines to assess output validation. By performing data and schema comparisons, the method generates output validation scores and summaries that provide insights into the similarity between outputs of different pipelines. The system allows for customization of weights, column and row aggregations, and detailed characteristics of data and schema differences, enabling efficient validation of data processing systems.
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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.
