First Citizens BancShares patented a method for archiving data by categorizing into streams with defined properties, creating a record manifest, and storing data items. Indexing is done on demand based on search criteria, preserving changes to data stubs. GlobalData’s report on First Citizens BancShares gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on First Citizens BancShares, was a key innovation area identified from patents. First Citizens BancShares's grant share as of February 2024 was 92%. Grant share is based on the ratio of number of grants to total number of patents.
Data archiving method with indexed data streams and manifest
A recently granted patent (Publication Number: US11860816B2) discloses a method for archiving data efficiently. The method involves receiving a data stream with multiple data items, defining properties for these items, creating a record manifest with metadata for the data items, and storing both the data stream and the record manifest before indexing. When a search query is received, only the relevant data item properties are indexed based on the search criteria provided, and the search query is applied to the indexed data stream to retrieve results.
The method outlined in the patent includes features such as defining data item properties like date and custodian, allowing for efficient indexing and retrieval of data based on search criteria. Additionally, the method enables the separation of data items into multiple streams based on preset criteria, with the archiving, defining, creating, and storing steps repeated for each stream. Furthermore, the method supports search queries that correspond to common data item properties across multiple stored data streams, facilitating comprehensive search results by indexing only relevant data items matching the criteria provided. Overall, the patent presents a systematic approach to data archiving and retrieval, enhancing efficiency and accuracy in managing large volumes of data.
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