Palantir Technologies. has filed a patent for systems and methods that enhance time series data processing through parallelization of instructions. The method involves generating nodes for operations on time series datasets, assembling them into query trees, and processing them in parallel on compute systems, with results presented in a user interface. GlobalData’s report on Palantir Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Palantir Technologies, Social media analytics was a key innovation area identified from patents. Palantir Technologies's grant share as of January 2024 was 66%. Grant share is based on the ratio of number of grants to total number of patents.

Enhanced processing of time series data via parallelization

Source: United States Patent and Trademark Office (USPTO). Credit: Palantir Technologies Inc

A computerized method for processing time series datasets has been outlined in a filed patent (Publication Number: US20240037152A1). The method involves generating nodes associated with operations to be performed on the datasets based on a query, assembling query trees from these nodes, and presenting the results in a user interface. The operations include transformations like interpolating, shifting, scaling, performing mathematical operations, and filtering the datasets. The nodes are identified based on metadata in the query, and the instructions for processing the query trees can be parallelized across multiple compute systems.

Furthermore, the system described in the patent includes one or more computers and computer storage media storing instructions for generating nodes, assembling query trees, and presenting results in a user interface based on a query. The system allows for the parallel processing of query trees across multiple compute systems and includes operations like interpolating, shifting, scaling, performing mathematical operations, and filtering time series datasets. The nodes are identified based on metadata in the query, and the user interface allows for interactive adjustments to the streamed results based on user input. The patent emphasizes the efficiency and flexibility of processing time series datasets through the described method and system.

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