- Lab
- Cloud
- Data
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.
Path Info
Table of Contents
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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.
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Challenge
Use AWS Glue Crawler to Catalog the Data
Create a database and a glue crawler to scan the data from the previous step.
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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.
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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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