Palantir technologies inc. (20240273084). DATA INTEGRITY CHECKS simplified abstract
Contents
DATA INTEGRITY CHECKS
Organization Name
Inventor(s)
Gintautas Miliauskas of Palo Alto CA (US)
DATA INTEGRITY CHECKS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240273084 titled 'DATA INTEGRITY CHECKS
The present disclosure involves performing agnostic data integrity checks on source data and generating human-readable reports to identify errors or anomalies within the data.
- Ingesting data from a source database through a data pipeline into a local database.
- Accessing the data from the data pipeline and determining the data type and subtypes of data elements.
- Counting each subtype and generating a human-readable report for display on a client device.
Potential Applications: - Data quality assurance in various industries such as finance, healthcare, and e-commerce. - Identifying and resolving data discrepancies in large datasets. - Ensuring compliance with data integrity standards and regulations.
Problems Solved: - Detecting errors or anomalies in source data that could impact decision-making processes. - Providing a clear and concise report for easy identification and resolution of data issues.
Benefits: - Improved data accuracy and reliability. - Enhanced decision-making based on trustworthy data. - Time and cost savings by automating data integrity checks.
Commercial Applications: Title: Data Integrity Verification System This technology can be used in data-driven industries such as banking, insurance, and retail to ensure the accuracy and reliability of data used for critical business operations.
Questions about Data Integrity Verification System: 1. How does this technology compare to traditional data validation methods?
- This technology automates data integrity checks and provides detailed reports for easy identification of errors, offering a more efficient and accurate solution compared to manual validation processes.
2. What are the potential challenges in implementing this system in a large organization?
- Implementing this system in a large organization may require integration with existing data systems and processes, as well as training employees on how to interpret and act on the generated reports.
Original Abstract Submitted
aspects of the present disclosure relate to performing agnostic data integrity checks on source data, and based on the data integrity checks, generating a human-readable report that may be useable to identify specific errors or anomalies within the source data. example embodiments involve systems and methods for performing the data integrity checks and generating the human-readable reports. for example, the method may include operations to ingest data from a source database through a data pipeline and into a local database, access the data from the data pipeline, determine a data type of the data, determine subtypes of data elements which make up the data, determine a count of each subtype, and generate a human-readable report, to be displayed at a client device.
