![]() |storeId|productCode|quantity|logQuantity|advertising|price|weekStarting| id| Job execution Succeeded Spark 2 executors 8 cores ![]() In the notebook code cell, paste the following Python code, inserting the ABFSS path you copied earlier: %%pysparkĭata_path = ('', format='csv', header=True)Īfter a few minutes, the text displayed should look similar to the following. If you don't have one, select Create Apache Spark pool. In Attach to, select your Apache Spark Pool. Select + and select "Notebook" to create a new notebook. Read data from ADLS Gen2 into a Pandas dataframe Select the uploaded file, select Properties, and copy the ABFSS Path value. In Synapse Studio, select Data, select the Linked tab, and select the container under Azure Data Lake Storage Gen2.ĭownload the sample file RetailSales.csv and upload it to the container. You can skip this step if you want to use the default linked storage account in your Azure Synapse Analytics workspace. In the Azure portal, create a container in the same ADLS Gen2 used by Synapse Studio.
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