Amazon SageMaker Data Wrangler is a new capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications via a visual interface. Data preparation is a crucial step of the ML lifecycle, and Data Wrangler provides an end-to-end solution to import, prepare, transform, featurize, and analyze data for ML in a seamless, visual, low-code experience. It lets you easily and quickly connect to AWS components like Amazon Simple Storage Service (Amazon S3), Amazon Athena, Amazon Redshift, and AWS Lake Formation, and external sources like Snowflake. Data Wrangler also supports standard data types such as CSV and Parquet.
Data Wrangler now additionally supports Optimized Row Columnar (ORC), JavaScript Object Notation (JSON), and JSON Lines (JSONL) file formats:

ORC – The ORC file format provides a highly efficient way to store Hive data. It was designed to overcome limitations of

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