From the course: Data Engineering on AWS: Data Cataloging, Processing, Analytics, and Visualization

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Demo: Amazon Redshift

Demo: Amazon Redshift - Amazon Web Services (AWS) Tutorial

From the course: Data Engineering on AWS: Data Cataloging, Processing, Analytics, and Visualization

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Demo: Amazon Redshift

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- [Instructor] In this demo, we will create a Redshift data warehouse and use Tickits data to analyze via Query Editor version two. To launch the cluster, I'm here on the Redshift landing page on AWS console. Here, you can either get started by Redshift serverless endpoint or you can also provision a cluster. So let's click on Create cluster. So here we will firstly define the name, let's call it demo. And for this demo, we can create this cluster using free trial. This will load the sample data, which is the Tickits data, which includes the activity of users buying and selling tickets online for sporting event. Next, we will define the username and password. We can call it admin, or you can keep any username of your choice. And let's create cluster. This is going to create a Redshift cluster. And when cluster is created, it'll also load the sample Tickits data, which we will analyze further. All right, so our…

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