- Lab
- Cloud
- Data
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.
Path Info
Table of Contents
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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.
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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.
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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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