Teradata has filed a patent for a data store system that includes a storage device and a processor. The processor receives features associated with an environment, generates a state representation of the environment, predicts future states, generates actions based on the predicted states, and provides the actions to be performed by the environment. 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 June 2023 was 1%. Grant share is based on the ratio of number of grants to total number of patents.
Data store system with predictive environment analysis and action generation
A recently filed patent (Publication Number: US20230205596A1) describes a system and method for managing data store systems based on predicted future states and performance metrics. The system includes at least one storage device to store data and at least one processor with access to the storage device. The processor is configured to receive features associated with an environment, generate a state representation of the environment based on the features, generate predicted future states of the environment based on the state representation, generate actions to be performed by the environment based on the predicted future states, and provide the actions to the environment to be performed.
Additionally, the processor is further configured to generate metrics indicative of prior performance of the environment. The environment in this case refers to a data store system. The processor receives features indicative of the operational state of the data store system, generates predicted future states of the data store system based on the state representation, generates metrics indicative of prior performance of the data store system, generates actions to be performed by the data store system based on the predicted future states and metrics, and provides the actions to the data store system.
The predicted future states generated by the system can indicate the predicted future system load of the data store system. The actions generated can include settings for a relative share of resources for workloads to be processed by the data store system. The metrics generated can include multiple metrics, each indicative of a service level goal being met for a workload group.
In summary, the patent describes a system and method for managing data store systems by generating predicted future states and performance metrics. This allows for proactive decision-making and optimization of resource allocation in the data store system. The system can help improve the performance and efficiency of data store systems by dynamically adjusting resource allocation based on predicted future states and performance metrics.
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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.
