SageMaker Data Wrangler
In this section, you’ll unravel the significance and benefits of Data Wrangler, dissecting its role as an end-to-end solution for importing, preparing, transforming, featurizing, and analyzing data:
- Importing data with ease: Data Wrangler simplifies the process of importing data from various sources, such as Amazon Simple Storage Service (S3), Amazon Athena, Amazon Redshift, Snowflake, and Databricks. Whether your data resides in the cloud or within specific databases, Data Wrangler seamlessly connects to the source and imports it, setting the stage for comprehensive data handling.
- Constructing data flows: Picture a scenario where you can effortlessly design a data flow, mapping out a sequence of ML data preparation steps. This is where Data Wrangler shines. By combining datasets from diverse sources and specifying the transformations needed, you sculpt a data prep workflow ready to integrate into your ML pipeline.
- Transforming data with...
