Google llc (20240220538). STORING SEMI-STRUCTURED DATA simplified abstract
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STORING SEMI-STRUCTURED DATA
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STORING SEMI-STRUCTURED DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240220538 titled 'STORING SEMI-STRUCTURED DATA
The abstract of this patent application describes methods, systems, and apparatus for storing semi-structured data. One method involves maintaining multiple schemas, receiving semi-structured data, determining that the data does not match any existing schemas, generating a new schema, encoding the data in the new format, storing it, and associating it with the new schema.
- The innovation involves dynamically creating schemas for semi-structured data that does not match existing schemas.
- The system can adapt to new data formats by generating new schemas on the fly.
- This approach allows for flexible storage and retrieval of diverse types of semi-structured data.
- By associating data items with specific schemas, the system can efficiently organize and manage large volumes of data.
- The method streamlines the process of handling semi-structured data in a structured database environment.
Potential Applications: This technology could be used in data management systems, content management systems, and database applications that deal with semi-structured data.
Problems Solved: This technology addresses the challenge of efficiently storing and organizing semi-structured data that does not fit into predefined schemas.
Benefits: The system provides a flexible and scalable solution for handling diverse types of semi-structured data. It streamlines the process of creating schemas and encoding data items in different formats. The approach improves data organization and retrieval efficiency in database systems.
Commercial Applications: This technology could be valuable for companies that deal with large volumes of semi-structured data, such as e-commerce platforms, social media companies, and research institutions.
Questions about the technology: 1. How does this technology improve the management of semi-structured data? 2. What are the potential implications of dynamically generating schemas for data storage and retrieval?
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing semi-structured data. one of the methods includes maintaining a plurality of schemas; receiving a first semi-structured data item; determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas; and in response to determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas: generating a new schema, encoding the first semi-structured data item in the first data format to generate the first new encoded data item in accordance with the new schema, storing the first new encoded data item in the data item repository, and associating the first new encoded data item with the new schema.
