Snowflake inc. (20240134844). FILE-BASED ERROR HANDLING DURING INGESTION WITH TRANSFORMATION simplified abstract
Contents
- 1 FILE-BASED ERROR HANDLING DURING INGESTION WITH TRANSFORMATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 FILE-BASED ERROR HANDLING DURING INGESTION WITH TRANSFORMATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Commercial Applications
- 1.9 Prior Art
- 1.10 Frequently Updated Research
- 1.11 Questions about Data Platform with Error Handling Framework
- 1.12 Original Abstract Submitted
FILE-BASED ERROR HANDLING DURING INGESTION WITH TRANSFORMATION
Organization Name
Inventor(s)
Abdullah Al Mahmood of Bothell WA (US)
Ruta Dhaneshwar of Redmond WA (US)
Canzhou Qu of Bellevue WA (US)
Purav B. Saraiya of Kirkland WA (US)
Konstantinos Zoumpatianos of Berlin (DE)
FILE-BASED ERROR HANDLING DURING INGESTION WITH TRANSFORMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240134844 titled 'FILE-BASED ERROR HANDLING DURING INGESTION WITH TRANSFORMATION
Simplified Explanation
The patent application describes a data platform with an error handling framework for loading input data. It generates input data columns from a file, creates result data columns based on the input data, and evaluates expressions. The platform detects projection errors, stores error indicators, filters result data columns, and stores them in a database.
- The data platform includes an error handling framework for loading input data.
- It generates input data columns from an input file.
- Result data columns are created based on the input data columns and evaluating expressions.
- Projection errors are detected during the generation of result data columns.
- Result error indicators are stored in error indicator arrays of the result data columns.
- Filtered result data columns are generated based on the result data columns and error indicator arrays.
- The filtered result data columns are stored in a database of the data platform.
Potential Applications
This technology can be applied in data processing, data analysis, and data management systems where error handling and data validation are crucial.
Problems Solved
This technology addresses issues related to error handling, data validation, and data quality assurance in data platforms.
Benefits
The technology improves the accuracy and reliability of data processing by efficiently handling errors and ensuring data integrity.
Commercial Applications
- Data processing systems
- Data analysis software
- Data management platforms
Prior Art
Information on prior art related to this technology is not provided in the abstract.
Frequently Updated Research
There is no information on frequently updated research related to this technology.
Questions about Data Platform with Error Handling Framework
Question 1
How does the data platform handle projection errors during the generation of result data columns?
The data platform detects projection errors and stores error indicators in error indicator arrays of the result data columns.
Question 2
What are the key features of the error handling framework in the data platform?
The error handling framework in the data platform includes storing error indicators, filtering result data columns, and storing them in a database.
Original Abstract Submitted
a data platform including an error handling framework for loading of input data. the data platform generates input data columns based on an input file and generates result data columns based on the input data columns and evaluating expressions. the data platform detects projection errors during the generating of the result data columns and stores result error indicators in error indicator arrays of the result data columns based on the projection errors. the data platform generates filtered result data columns based on the result data columns and the result error indicator arrays of the result data columns and stores the filtered result data columns in a database of the data platform.
