From the course: Microsoft Azure Data Scientist Associate (DP-100) Exam Tips

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Preparing and working with data

Preparing and working with data - Azure Tutorial

From the course: Microsoft Azure Data Scientist Associate (DP-100) Exam Tips

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Preparing and working with data

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- [Instructor] In order to prepare or work with data in Databricks, you need to spin up a cluster. We've seen how to do that already. You need to import the data you'll work with and you need a notebook where you can query and process the data. To add data, you locate the Data tab on the left pane of Azure Databricks and just select it. We can create a table by uploading a file from your local computer or pointing to other data sources. You can see the list available there. To create a notebook, we locate the Create tab and select Create Notebook. So, that's how you import data, and that's how you create a notebook. There's a lot we could talk about when it comes to Azure Databricks. For example, the fact that when you're using a Python notebook, you can actually use SQL commands to query your Python DataFrame. I absolutely love that use case. Feel free to explore Databricks more for yourself.

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