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Labs

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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Labs

Path Info

Level
Clock icon Advanced
Duration
Clock icon 1h 0m
Last updated
Clock icon Sep 01, 2025

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Table of Contents

  1. 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.

  2. Challenge

    Use AWS Glue Crawler to Catalog the Data

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

  3. 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.

  4. 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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What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

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