Alteryx. has been granted a patent for a computer-implemented method that manages memory usage in data analytics. The method involves scheduling data processing tasks by generating factory objects when memory is insufficient, allowing for efficient execution of reduced scope tasks once memory becomes available. GlobalData’s report on Alteryx gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Alteryx, Social media analytics was a key innovation area identified from patents. Alteryx's grant share as of July 2024 was 37%. Grant share is based on the ratio of number of grants to total number of patents.
Memory management for data processing tasks in analytics systems
The granted patent US12045654B2 outlines a computer-implemented method and system for managing memory usage in a data analytics environment. The method involves accessing an analytics workflow that consists of a sequence of tools, each designed to perform specific data analytics functions. The process begins with the system determining if the available memory is sufficient for storing data records necessary for a data processing task. If the memory is inadequate, a factory object is generated, which has a smaller memory footprint than the original data processing task. This factory object is registered with a scheduler, which subsequently requests and produces the data processing task when a free thread is detected. The method also includes a mechanism for scheduling a reduced scope of the data processing task once sufficient memory becomes available.
Additionally, the patent describes alternative strategies for handling memory constraints, such as placing the data processing task into a queue when memory is insufficient and removing it from the queue once memory becomes available. The method allows for continuous monitoring of memory availability, enabling the system to reassess the feasibility of executing the data processing task at different times. This approach aims to optimize memory usage and ensure efficient data processing in analytics systems, thereby enhancing overall performance and resource management. The patent also includes provisions for determining the memory requirements for tasks and managing reserved memory for other processes, ensuring that the system can adapt to varying memory conditions effectively.
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