Teradata has been granted a patent for a method that optimizes data processing requests by evaluating statistics from external data engine systems to comply with Service Level Goals. The method involves modifying execution plans based on external resource metrics and automated actions. GlobalData’s report on Teradata 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 Teradata, Zero Knowledge Proof was a key innovation area identified from patents. Teradata's grant share as of May 2024 was 51%. Grant share is based on the ratio of number of grants to total number of patents.
Optimizing data processing between local and external systems
A recently granted patent (Publication Number: US12001430B2) outlines a method for optimizing data processing across local and external data engine systems. The method involves receiving a data engine request on a local data engine system, identifying portions to be processed locally and externally, obtaining external statistics, evaluating compliance with Service Level Goals (SLG), and making automated adjustments based on Contract Negotiated Service Level Goal (CNSLG) classification criteria. If the SLG cannot be met using the external data source, a local database administrator is provided with alternative processing options. However, if the SLG can be satisfied externally, the optimization and execution plan are modified accordingly, with further adjustments based on actual resource utilization metrics.
Furthermore, the patent details a system comprising a local database management system, a workload request manager, and hardware processors, designed to integrate external statistics, estimate external costs, evaluate compliance with SLGs, and make automated adjustments based on CNSLG criteria. The workload request manager assigns external costs to CNSLG categories, applies rules for automated actions, and allows for modifications to the request execution plan. Automated actions include re-planning the data engine request, re-classification, demotion or boosting of priority within the local DBMS, filtering, logging, rejecting requests, alerting administrators, and adjusting hardware and software resources to achieve SLGs. This innovative method and system aim to enhance data processing efficiency and ensure SLG compliance across local and external data engine 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.
