Azure Databricks

Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. Designed with the founders of Apache Spark, Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts.

We would love to hear any feedback you have for Azure Databricks.
For more details about Azure Databricks, try our documentation page.

We welcome user feedback and feature requests!

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  1. support low-priority VMs

    Azure Databricks and low-priority VMs are a great match. Their use cases overlap heavily: https://docs.microsoft.com/en-us/azure/batch/batch-low-pri-vms#use-cases-for-low-priority-vms.

    2 votes
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    • Provide support for mrsdeploy on Azure databricks

      I wish to deploy R model to Azure ML server using mrsdeploy from Azure databricks

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      • support reading avro files from azure blob storage

        I use EventHub capture to storage account feature and want to load it's avro files from Azure Databricks, it works perfectly on dbfs, but when i try to load it directly from blob storage (based on this article https://docs.azuredatabricks.net/spark/latest/data-sources/azure/azure-storage.html) it fails with the following error:

        shaded.databricks.org.apache.hadoop.fs.azure.AzureException: shaded.databricks.org.apache.hadoop.fs.azure.AzureException: Container events in account pilfleetml.blob.core.windows.net not found, and we can't create it using anoynomous credentials, and no credentials found for them in the configuration.
        ---------------------------------------------------------------------------
        Py4JJavaError Traceback (most recent call last)
        <command-486363724788735> in <module>()
        ----> 1 avroDf = spark.read.format("com.databricks.spark.avro").load("wasbs://events@pilfleetml.blob.core.windows.net/pil-fleet-eh/pil-fleet-ml/0/2018/01/25/14/55/*")

        /databricks/spark/python/pyspark/sql/readwriter.py in load(self, path, format, schema, **options)
        157 self.options(**options)
        158 if…

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