Use AWS Glue to Load Data into Redshift

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Use AWS Glue to Load Data into Redshift

In this lab, you will go through the process of uploading raw data to Amazon S3, creating and configuring Amazon Redshift, setting up AWS Glue to catalog and transform the data, and querying the transformed data in Redshift. This will help you understand how to process, clean, and load data into Redshift for analysis.

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Lab Info

Level

Advanced

Last updated

Sep 24, 2025

Duration

1h 0m

Challenge

Upload the Raw Data to Amazon S3

Upload user-interactions-data.csv (1.04 KB) to the pre-created Amazon S3 bucket. Then, create the schema and table in Amazon Redshift to store the transformed data in later steps.
Challenge

Use AWS Glue Crawler to Catalog the Data

Create a database and a glue crawler to scan the data from the previous step.
Challenge

Create and Run an AWS Glue ETL Job to Transform and Load Data into Amazon Redshift

Create a Glue ETL job to deduplicate the data, rename some columns, and load it into the Redshift table.
Challenge

Query the Data in Redshift

Run SQL queries in Amazon Redshift to analyze the transformed data, verifying that deduplication and column renaming were applied correctly.

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