View source for Palantir technologies inc. (20240184754). INFERRING A DATASET SCHEMA FROM INPUT FILES simplified abstract

=INFERRING A DATASET SCHEMA FROM INPUT FILES=


==Organization Name==

[[:Category:palantir technologies inc.|palantir technologies inc.]]


[[Category:palantir technologies inc.]]

==Inventor(s)==

[[:Category:Nir Ackner of Palo Alto CA (US)|Nir Ackner of Palo Alto CA (US)]][[Category:Nir Ackner of Palo Alto CA (US)]]

[[:Category:Eric Lin of Palo Alto NY (US)|Eric Lin of Palo Alto NY (US)]][[Category:Eric Lin of Palo Alto NY (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.



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