Comments (3)
rahulsarode
commented on July 26, 2024
Analysis of following Data profiling tools Open Source Data Quality and Profiling, Data Cleaner and Talend is done and observations/features useful for our project are shared with the Team.
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achouhan93
commented on July 26, 2024
Rahul: Can you please provide the information which was shared with the team as a comment for future reference.
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rahulsarode
commented on July 26, 2024
Below information was shared with the team :
-Identification of data type of column
-Analyse the column and provide column statistics (pattern, format , range, count etc. )
-Allocate internal index for each record (row)
-Data masking can be used to unclean duplicate records
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Related Issues (20)
- Literature study for requirement of the Framework
- Framework Considering Semantic Data Type
- Functional Dependency Among Different Columns
- Profiling : Pattern Matching Service Code Implementation
- Profiling: Column Data Type Prediction Service Code Implementation
- Profiling: Column Statistics Information Service Code Implementation
- Data Type: Boolean Service Code Implementation
- Data Type: String Service Code Implementation
- Data Type: Date Service Code Implementation
- Data Type: Integer Service Code Implementation
- Data Type: Decimal Service Code Implementation
- Data Type: Character Service Code Implemtation
- Quality Dimension: Accuracy Service Code Implementation
- Quality Dimension: Completeness Service Code Implementation
- Quality Dimension: Validity Service Code Implementation
- Quality Dimension: Consistency Service Code Implementation
- Quality Dimension: Conformity Service Code Implementation
- Semantic Service: Determine the semantic of the column based on data
- Data loss after creation of a new intermediate dataset version - discuss
- change logs available only for completeness dimention | changelog name should be changelog-<datasetName>
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