AWS Glue Studio Visual ETL adds 5 new visual transforms
News
This article announces 5 new visual transforms added to AWS Glue Studio for ETL data processing:
- Record matching: Identify duplicate records using ML models
- Remove null rows: Filter out rows with missing data
- Extract string fragments: Parse strings using regular expressions
- Parse JSON column: Convert JSON strings into data structures or arrays
- Extract JSON path: Extract specific JSON path values
These visual transforms enable ETL developers to build sophisticated data pipelines without writing code. Available in all AWS commercial regions where Glue is supported.
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