Palantir technologies inc. (20240211451). OUTPUT VALIDATION OF DATA PROCESSING SYSTEMS simplified abstract
Contents
OUTPUT VALIDATION OF DATA PROCESSING SYSTEMS
Organization Name
Inventor(s)
Andrei Spatariu of London (GB)
OUTPUT VALIDATION OF DATA PROCESSING SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211451 titled 'OUTPUT VALIDATION OF DATA PROCESSING SYSTEMS
The abstract describes a method for output validation of data processing systems using data and schema comparisons.
- The method involves comparing data tables from different data pipelines to identify differences.
- It also includes comparing the schemas of the data tables to determine variations.
- Output validation scores are generated based on the differences found in the data and schema comparisons.
- A summary is created that includes both the data and schema validation scores.
Potential Applications: - Quality assurance in data processing systems - Identifying discrepancies in data pipelines - Improving data accuracy and consistency
Problems Solved: - Ensuring data integrity in processing systems - Streamlining validation processes - Enhancing overall system performance
Benefits: - Increased accuracy in data processing - Improved efficiency in identifying data discrepancies - Enhanced data quality control
Commercial Applications: Title: Data Validation System for Enhanced Data Integrity This technology can be utilized in industries such as finance, healthcare, and e-commerce to ensure accurate data processing and maintain high standards of data integrity. It can also be integrated into data management software to streamline validation processes and improve overall system performance.
Questions about the technology: 1. How does this method improve data validation processes in comparison to traditional methods? 2. What are the potential cost-saving benefits for companies implementing this data validation system?
Frequently Updated Research: Stay updated on the latest advancements in data validation techniques and tools to enhance the efficiency and accuracy of data processing systems. Regularly review industry publications and research studies to incorporate new insights into data validation practices.
Original Abstract Submitted
a method is provided for output validation of data processing systems, performed by one or more processors. the method comprises performing a data comparison between a first data table and a second data table to determine a data differentiating table, wherein the first data table is based on an output of a first data pipeline, and wherein the second data table is based on an output of a second data pipeline; performing a schema comparison between the first data table and the second data table to determine a schema differentiating table; generating a first output validation score based on the data differentiating table; generating a second output validation score based on the schema differentiating table; and generating a summary comprising both the first and second output validation scores.
