Salesforce. has been granted a patent for a database system that processes records of changes to datasets. The system computes average data sizes, modifies keys through a salting process, sorts data change instances into partitions, and writes files of specified sizes to a data store. GlobalData’s report on Salesforce 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 Salesforce, Social media analytics was a key innovation area identified from patents. Salesforce's grant share as of June 2024 was 67%. Grant share is based on the ratio of number of grants to total number of patents.
Data processing method for managing dataset changes
The granted patent US12045197B2 outlines a method and apparatus for efficient data processing involving the management of records that represent changes to various datasets. The method begins with the reception of multiple records, which include data change instances linked to different data schema types. It computes the average size of data for each schema type and employs a salting process to modify the associated keys by assigning non-overlapping numerical ranges to subsets of these keys. This process facilitates the sorting of data change instances into partitions of a specified target file size, ultimately leading to the writing of these files to a data store.
Further claims detail the computational steps involved in determining average sizes, including defining initial size values and generating total output sizes based on these values. The salting process is elaborated upon, indicating that it can involve assigning random values from the defined numerical ranges to individual keys. The method also encompasses determining the target file size for partitions, calculating total storage sizes for each schema type, and ensuring that each partition contains files of the same data schema type. The apparatus described includes a processor and memory, with executable instructions that implement the aforementioned data processing method, thereby enhancing the organization and storage of data changes across various datasets.
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