From the course: Azure Spark Databricks Essential Training

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Use Azure Blob storage

Use Azure Blob storage

From the course: Azure Spark Databricks Essential Training

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Use Azure Blob storage

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- [Instructor] As we're continuing to consider how we move data into our cluster, let's take a look at some of the other integrations that are built into the UI. So if I click on Data here, and I click on Add Data, we just, in the previous movie, went over uploading a file, and making that into a data table in the UI. We could use DBFS as well, which is we can see into the file system. So you can see here is the table that we just made, for example. And because we are running on Azure, we have integrations in the Other Data Source area with some common Azure services. So, Azure Blob Store, Azure Data Lake Store, we also have JDBC, Cassandra, Kafka, Redis, and Elasticsearch. Now you'll notice if I select Azure Blob Storage or Azure Data Lake Store, I get this convenient button to Create Table in a Notebook. So I'll show you what this looks like for Blob Storage. So, as it says here, this notebook shows you how to create and query a table or DataFrame loaded from data stored in Azure…

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