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# Create a Kubernetes cluster using Kubeadm on Ubuntu 16.04 LTS or 18.04 LTS
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# Create a Kubernetes cluster using Kubeadm on Ubuntu 20.04 LTS
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In this example, we will deploy Kubernetes over multiple Linux machines (physical or virtualized) using kubeadm utility. These instructions have been tested primarily with Ubuntu 16.04 LTS & 18.04 LTS versions.
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In this example, we will deploy Kubernetes over multiple Linux machines (physical or virtualized) using kubeadm utility. These instructions have been tested primarily with Ubuntu20.04 LTS version.
"# **Spark Package Management in SQL Server 2019 Big Data Clusters**\r\n",
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"This guide covers installing packages and submitting jobs to a SQL Server 2019 Big Data Cluster using Spark.\r\n",
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"* Built-In Tools\r\n",
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"* Install Packages from a Maven Repository onto the Spark Cluster at Runtime\r\n",
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"* Import .jar from HDFS for use at runtime\r\n",
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"* Import .jar at runtime through Azure Data Studio notebook cell configuration\r\n",
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"* Install Python Packages at Runtime for use with PySpark \r\n",
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"* Submit local .jar or python file\r\n",
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"<!-- <span style=\"color:red\"><font size=\"3\">Please press the \"Run Cells\" button to run the notebook</font></span> -->\r\n",
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"\r\n",
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"For more information on package managament, refer to [Spark library management](https://docs.microsoft.com/sql/big-data-cluster/spark-install-packages?view=sql-server-ver15)"
"* [Submit Spark jobs on SQL Server Big Data Clusters in Azure Data Studio](https://docs.microsoft.com/en-us/sql/big-data-cluster/spark-submit-job?view=sqlallproducts-allversions)\r\n",
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"* [Submit Spark jobs on SQL Server Big Data Clusters in IntelliJ](https://docs.microsoft.com/en-us/sql/big-data-cluster/spark-submit-job-intellij-tool-plugin?view=sqlallproducts-allversions)\r\n",
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"* [Submit Spark jobs on SQL Server big data cluster in Visual Studio Code](https://docs.microsoft.com/en-us/sql/big-data-cluster/spark-hive-tools-vscode?view=sqlallproducts-allversions)\r\n",
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""
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"* [Submit Spark jobs on SQL Server big data cluster in Visual Studio Code](https://docs.microsoft.com/en-us/sql/big-data-cluster/spark-hive-tools-vscode?view=sqlallproducts-allversions)\r\n"
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