![]() whl files for the libraries and upload them to Amazon S3: awswrangler is a library provided by AWS to integrate data between a Pandas DataFrame and AWS repositories like Amazon S3.ĭownload the following. pytrends is a library that provides a simple interface for automating the downloading of reports from Google Trends. The AWS Glue job needs the following two external Python libraries: pytrends and awswrangler. Create a new QuickSight account with the admin/author role and access granted to Athena and Amazon S3.ĭownload the external libraries and dependencies for the AWS Glue Job. ![]() Create an AWS Identity and Access Management (IAM) service role that allows AWS Glue to read and write data to the S3 buckets you just created.For this post, we use a Netflix Movies and TV Shows public dataset from Kaggle. Create an S3 bucket where you upload the list of movies and TV shows.Set up your environmentĬomplete the following steps to set up your environment: ![]() In the following sections, we walk through the steps to set up the environment, download the libraries, create and run the AWS Glue job, and explore the data.
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