Building an End-to-End Data-Wrangling Pipeline with AWS SDK for Pandas

In the previous chapters, we learned about the data-wrangling process and how to utilize different services for data-wrangling activities within the AWS ecosystem:

  • We explored AWS Glue DataBrew, which helps you in creating a data-wrangling pipeline through a GUI-based approach for every type of user.
  • We also went through SageMaker Data Wrangler, which also helps users in creating a GUI-based data-wrangling pipeline, but it’s more closely aligned with machine learning workloads with tighter integration with the SageMaker service.
  • We also explored AWS SDK for Pandas, aka awswrangler, which is a hands-on coding approach to data wrangling that integrates the Pandas library ...

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