Palantir technologies inc. (20240184754). INFERRING A DATASET SCHEMA FROM INPUT FILES simplified abstract
Contents
- 1 INFERRING A DATASET SCHEMA FROM INPUT FILES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFERRING A DATASET SCHEMA FROM INPUT FILES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Simplified Explanation
- 1.6 Key Features and Innovation
- 1.7 Potential Applications
- 1.8 Problems Solved
- 1.9 Benefits
- 1.10 Commercial Applications
- 1.11 Prior Art
- 1.12 Frequently Updated Research
- 1.13 Unanswered Questions
- 1.14 Original Abstract Submitted
INFERRING A DATASET SCHEMA FROM INPUT FILES
Organization Name
Inventor(s)
Nir Ackner of Palo Alto CA (US)
INFERRING A DATASET SCHEMA FROM INPUT FILES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240184754 titled 'INFERRING A DATASET SCHEMA FROM INPUT FILES
Simplified Explanation
Simplified Explanation
The method involves analyzing a sample excerpt from a data input file to identify header data, jagged rows, and row delimiters. It also involves updating the sample excerpt based on changes to row delimiters and generating a candidate schema for the data input file.
Key Features and Innovation
- Selecting a sample excerpt from a data input file
- Identifying header data in the sample excerpt
- Detecting and correcting erroneously placed row delimiters
- Updating the sample excerpt based on changes to row delimiters
- Generating a candidate schema for the data input file
Potential Applications
This technology can be used in data processing and analysis applications where structured data needs to be identified and organized.
Problems Solved
- Efficient identification of header data in a data input file
- Correction of erroneously placed row delimiters
- Simplifying the process of generating a schema for the data input file
Benefits
- Improved accuracy in data processing
- Time-saving in data organization tasks
- Enhanced efficiency in data analysis workflows
Commercial Applications
- Data management software tools
- Business intelligence platforms
- Data integration solutions
Prior Art
There may be existing methods or technologies related to data parsing and schema generation in data processing applications.
Frequently Updated Research
There may be ongoing research in the field of data analysis and schema generation for large datasets.
Unanswered Questions
Question 1
How does this method handle complex data structures with nested rows and columns?
Question 2
Are there any limitations to the size of the data input file that can be effectively processed using this method?
Original Abstract Submitted
a method comprises selecting a sample excerpt from a data input file; in response to the determining that a first row in the sample excerpt does not contain a delimited value and a second row does contain a delimited value, determining that the first row consists of header data; identifying one or more jagged rows based on row delimiters that were erroneously placed; causing displaying text that led to creation of a jagged row; receiving an addition or removal of a specific row delimiter to the text; updating the sample excerpt based on the addition or the removal; analyzing the sample excerpt to determine a row delimiter for the data input file; identifying a plurality of rows that is not included in the header data; identifying a plurality of candidate column delimiters and generating a candidate schema for the data input file.
