Important Note: You will create AWS resources during the workshop which will incur cost in your AWS account. It is recommended to clean-up the resources as soon as you finish the workshop to minimize the cost.

AWS Data Wrangler Series - Part3- Working with Amazon Redshift

Amazon Redshift is a managed, petabyte-scale data warehouse service in the cloud.

AWS Data Wrangler is an open source initiative from AWS Professional Services. It extends the power of Pandas by allowing to work AWS data related services using Panda DataFrames. Once can use Python Panda and AWS Data Wrangler to build ETL with major services - Athena, Glue, Redshift, Timestream, QuickSight, CloudWatchLogs, DynamoDB, EMR, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

In this workshop, you learn how to use AWS Data Wrangler to manipulate data in Redshift Database.

The following diagram shows the scenario you are going to build. Start the workshop

AWS Data Wrangler