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Load data into a Redshift cluster using the Copy Command

AWS Redshift is AWS's analytical database engine. In this lab, you'll learn how to efficiently load CSV flat files from Amazon S3 into an Amazon Redshift table. You'll start by connecting to a Redshift cluster, and creating a target table. Then, you'll use the AWS Management Console to upload sample CSV files to an S3 bucket. Next, you'll explore the COPY command, a powerful Redshift feature for bulk loading data. You'll write and execute a COPY command to transfer the data from S3 into your Redshift table, learning about important parameters to adjust the load to the file format. Finally, you'll verify the data load by querying the Redshift table and then loading metadata.

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Lab Info
Level
Intermediate
Last updated
Sep 24, 2025
Duration
30m

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Table of Contents
  1. Challenge

    Upload data to S3 bucket

    Upload the provided CSV data file into an S3 bucket where it can be read by the Redshift cluster.

  2. Challenge

    Load the data to Redshift through a COPY command

    Using the Redshift query editor, you will create a table, and run a COPY command that will read the CSV data from S3 and load it into the Redshift table.

  3. Challenge

    Verify the data loaded correctly

    Verify the contents of the table with a SELECT command, as well as by querying the system monitoring views that collect Redshift operations metadata.

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