Snowflake inc. (20240256501). DATA DICTIONARY METADATA FOR MARKETPLACE LISTINGS simplified abstract

DATA DICTIONARY METADATA FOR MARKETPLACE LISTINGS

Organization Name

snowflake inc.

Inventor(s)

Durga Mahesh Arikatla of San Jose CA (US)

Robert K. Chao of Fremont CA (US)

Li He of San Mateo CA (US)

Joyce Lam of Hayward CA (US)

Xinyue Liu of Buffalo Grove IL (US)

Subramanian Muralidhar of Mercer Island WA (US)

Vishnu Dutt Paladugu of Seattle WA (US)

Shakhina Pulatova of San Francisco CA (US)

Stephanie Stillman of Seattle WA (US)

Xin Wen of San Mateo CA (US)

Di Wu of Newark CA (US)

Ziqi Xu of San Mateo CA (US)

DATA DICTIONARY METADATA FOR MARKETPLACE LISTINGS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240256501 titled 'DATA DICTIONARY METADATA FOR MARKETPLACE LISTINGS

The abstract describes a system that automatically generates and updates a data dictionary for listings offering shared data. This data dictionary includes metadata describing the shared data, such as individual objects like tables, schemas, views, and functions. The system populates the data dictionary with a set of data fields corresponding to the shared dataset or object type, providing data consumers with a comprehensive description of the shared data and individual objects.

• Automatically generates and updates a data dictionary for listings offering shared data
• Includes metadata describing individual objects like tables, schemas, views, and functions
• Populates the data dictionary with data fields corresponding to the shared dataset or object type
• Provides data consumers with a comprehensive description of the shared data and individual objects
• Helps data consumers understand the contents of the shared data and how to use it

Potential Applications: - Data management systems - Database administration tools - Data sharing platforms

Problems Solved: - Lack of comprehensive descriptions for shared data - Difficulty in understanding the contents of shared data - Inefficient data management and organization

Benefits: - Improved data understanding for consumers - Streamlined data management processes - Enhanced data organization and accessibility

Commercial Applications: Title: Data Dictionary Generation System for Enhanced Data Management This technology can be used in various industries such as healthcare, finance, and e-commerce for efficient data management, improved data sharing, and enhanced data organization. It can be marketed to companies looking to streamline their data processes and improve data accessibility for their teams.

Prior Art: Researchers in the field of data management and database systems have explored similar concepts of automatically generating data dictionaries. It would be beneficial to review existing literature and patents related to data organization and metadata management.

Frequently Updated Research: Stay updated on advancements in data management systems, database administration tools, and metadata management to enhance the functionality and efficiency of the data dictionary generation system.

Questions about Data Dictionary Generation System: 1. How does the system ensure the accuracy and relevance of the data fields in the data dictionary? The system uses algorithms and data validation techniques to ensure the accuracy and relevance of the data fields in the data dictionary.

2. Can the data dictionary generation system be integrated with existing data management platforms? Yes, the system is designed to be compatible with various data management platforms, allowing for seamless integration and enhanced data organization.

Original Abstract Submitted

a data dictionary generation system automatically populates and updates a data dictionary for listings offering shared data. a data dictionary includes metadata describing the shared data, including the individual objects, such as the individual tables, schemas, views, and functions. the shared data and each individual data object may be described in the data dictionary by a set of data fields that corresponds to the shared dataset or the object type of the individual object. the data dictionary can be presented to data consumers along with the description of the listing to provide data consumers with a comprehensive description of the shared data provided by a listing, including a high-level summary of the shared data and description of each individual object included in the shared data. the data dictionary allows data consumers to understand the contents of the shared data and how to use the shared data.