Hey, everybody. My name is Duncan, I'm a data engineer here with West Loop Strategy, an Aws partner. Today for our AWS Analytics Series, we're going to be talking about how to get your Datasets into QuickSight.

Once you have QuickSight open, on the left hand side, you're gonna see data sets on that left menu. Go ahead and click into that and it's going to pull up a list of your current data sets. If this is the first time you're doing this, you're not going to have any. So on the top right, you'll hit that big blue button that says new Dataset. Once that opens, you'll see a screen that has a lot of Datasource options. This is one of the great features about QuickSight and one of the features our clients love is that it comes out of the box with a lot of options.

For today, we're going to be choosing Postgres. But for future reference, Aws databases are available, as well as Salesforce, Snowflake, and you can even upload a CSV from your computer. For my Postgres, I'm going to open it up. I'm gonna type in my credentials and go ahead and hit create Datasource. Once I have my Datasource open, I can hit create Dataset,choose my schema and pick my Dataset.

We highly recommend before hitting save that you use the Edit/Preview Data button. What that's gonna allow you to do is check that you have all the fields that you need. Make sure that your table is correct. Make sure that everything is where it should be. Once you feel confident in your Dataset, you can hit save and publish or visualize.

Now, if you made any changes to your Dataset, be sure to hit save and publish or it's all going to get deleted. Once you hit visualize, it's going to immediately take you into Analysis and you're on your way to making your first Dashboard.

Thanks for joining me today! To find out more about how we help our clients use AWS cloud technology check out our website and follow us on LinkedIn.

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Find answers to common questions about cloud migration and working with West Loop Strategy.

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For smaller, less complex applications, a migration might take a few weeks to a couple of months. However, for larger enterprises with complex systems, the migration process could extend over several months or even years.It's essential to thoroughly plan and execute the migration, considering factors like data transfer, application refactoring, testing, and training.

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