Skip to content

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.
  • Labs icon Lab
  • A Cloud Guru
Google Cloud Platform icon
Labs

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.

Try for free Contact sales
Google Cloud Platform icon
Labs

Path Info

Level
Clock icon Advanced
Duration
Clock icon 1h 0m
Published
Clock icon Mar 26, 2021

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.

Table of Contents

  1. 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.

  2. 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.

    GitHub Repo

  3. 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.

A Cloud Guru - Labs - Querying Data from Multiple Redshift Spectrum Tables
Author
A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Start learning by doing today

View Plans