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AWS Data Wrangler

Move pandas/spark dataframes across AWS services
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What is AWS Data Wrangler?

It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark).
AWS Data Wrangler is a tool in the Data Science Tools category of a tech stack.
AWS Data Wrangler is an open source tool with GitHub stars and GitHub forks. Here’s a link to AWS Data Wrangler's open source repository on GitHub

Who uses AWS Data Wrangler?


4 developers on StackShare have stated that they use AWS Data Wrangler.

AWS Data Wrangler Integrations

Apache Spark, Amazon Athena, PySpark, Apache Parquet, and Neos CMS are some of the popular tools that integrate with AWS Data Wrangler. Here's a list of all 5 tools that integrate with AWS Data Wrangler.

AWS Data Wrangler's Features

  • Writes in Parquet and CSV file formats
  • Utility belt to handle data on AWS

AWS Data Wrangler Alternatives & Comparisons

What are some alternatives to AWS Data Wrangler?
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Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
See all alternatives

AWS Data Wrangler's Followers
28 developers follow AWS Data Wrangler to keep up with related blogs and decisions.