Author data integration jobs with an interactive data preparation experience with AWS Glue visual ETL
Big Data Blog
This article introduces a new feature in AWS Glue Studio that provides an interactive data preparation experience for authoring data integration jobs. It allows users to visually inspect tabular data, validate recipe steps through real-time runs, and author data preparation recipes without writing code.
Specifically, the article covers:
- Prerequisites (creating S3 buckets, Data Catalog database, and IAM roles)
- Authoring and running a data integration job with the visual data preparation experience, including steps like data inspection, transforming data types, splitting columns, and adding new columns
- Querying the transformed data using Amazon Athena and deriving insights
- Clean-up steps
- Conclusion highlighting the benefits of the new low-code/no-code data preparation authoring experience
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