JSonar Inc. (20240303282). DIRECT CLOUD STORAGE INTAKE AND UPLOAD ARCHITECTURE simplified abstract

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DIRECT CLOUD STORAGE INTAKE AND UPLOAD ARCHITECTURE

Organization Name

jSonar Inc.

Inventor(s)

Ron Ben-natan of Lexington MA (US)

DIRECT CLOUD STORAGE INTAKE AND UPLOAD ARCHITECTURE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240303282 titled 'DIRECT CLOUD STORAGE INTAKE AND UPLOAD ARCHITECTURE

Simplified Explanation:

The patent application describes a method for gathering ongoing updates to large, unstructured or semi-structured databases. The method involves aggregating events from the database into part files stored in a cloud storage repository for querying.

  • The method gathers events from a database in a non-structured syntax.
  • The events are aggregated into part files in a columnar format.
  • Each part file includes metadata in a header file separate from the events.
  • The part files are uploaded to a cloud storage repository for querying by a server.

Key Features and Innovation:

  • Gathering ongoing updates to databases in a non-structured format.
  • Aggregating events into part files with metadata in a columnar format.
  • Storing part files in a cloud storage repository for querying.

Potential Applications:

This technology could be used in various industries such as finance, healthcare, and e-commerce for real-time data updates and analysis.

Problems Solved:

This technology addresses the challenge of collecting ongoing updates to large, unstructured databases efficiently and effectively.

Benefits:

  • Real-time data updates.
  • Improved data analysis.
  • Efficient storage and querying of database events.

Commercial Applications:

Potential commercial applications include data analytics platforms, financial trading systems, and e-commerce recommendation engines.

Questions about the Technology:

1. How does this method improve the efficiency of gathering ongoing updates to databases? 2. What are the advantages of storing events in a columnar format for querying purposes?


Original Abstract Submitted

a data gathering and query method for collecting ongoing updates to large, unstructured or semi-structured databases is provided. the method comprises gathering a plurality of events defined in a database syntax that is not structured and aggregating the plurality of events into one or more part files. each of the one or more part files store a subset of the plurality of events in a columnar format, and each of the one or more part files comprises a header file that includes metadata corresponding to a subset of the plurality of events stored in the part file and is separate from the subset of events stored in the part file. the method further comprises uploading the one or more part files to a cloud storage repository configured to store the one or more part files so that they can be queried by a query server based on the header files.

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