Querying Data from Multiple Redshift Spectrum Tables

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Querying Data from Multiple Redshift Spectrum Tables

In this lab, we will utilize Redshift Spectrum to create several tables from data stored in S3 and then test to ensure we are able to perform queries that include joins of the tables we have created.

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Lab Info

Level

Advanced

Last updated

Sep 14, 2025

Duration

1h 0m

Challenge

Inspect the Lab Environment

Use the AWS Web Console to investigate the lab environment. You should find an S3 bucket named users-data-<ACCOUNT_NUMBER>, which contains a single JSON file as well as a single node Redshift cluster.

We recommend downloading and inspecting the JSON data, as you will need to write SQL pertinent to this data to create your Redshift Spectrum tables.
Challenge

Create the Redshift Spectrum Tables

Using either the Redshift web console query editor or the client of your choosing, create the five requested Redshift Spectrum tables.

On the Connect to database window, fill in the connection details: * For Connection, ensure Create a new connection is selected. * For Authentication, ensure Temporary credentials is selected. * Use the Cluster dropdown to select users-cluster (Available). * In the Database name field, enter users. * In the Database user field, enter users_admin.

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Challenge

Test Your Newly Created Redshift Spectrum Tables

Using either the Redshift web console query editor or the client of your choosing, run the supplied test query to ensure your tables are correctly formed and it is possible to perform joins between them.

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