From the course: Microsoft Fabric Data Flows and Data Storage

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Using data wrangling to examine your data

Using data wrangling to examine your data - Microsoft Fabric Tutorial

From the course: Microsoft Fabric Data Flows and Data Storage

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Using data wrangling to examine your data

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- [Instructor] You may find that there's a lot of data in the data lake that you need to evaluate to determine how you might incorporate the data into a data model. It's important to examine the data to ensure what's the state of the data. Is there anything missing? Is it incorrectly data type? Let's take a look at what's in a file and then we'll know how to model it. To do this, we're going to use some techniques commonly used by data scientists and write some code inside of Data Engineering. Within Data Engineering, inside of the Class Workspace, we'll want to open up a notebook. In this new notebook, let's give it a new name by clicking on the down arrow button next to Saved and call this Data Wrangling. So the first step that we need to do is to add our new lakehouse. So we'll go ahead and select Add, and we're going to add the existing lakehouse that we added earlier. So we'll select the Add button and then…

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