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.openpublishing.redirection.json

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{
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"source_path": "docs/advanced-analytics/r/converting-r-code-for-use-in-sql-server.md",
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"redirect_url": "/sql/machine-learning/r/converting-r-code-for-use-in-sql-server",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/r/converting-r-code-for-use-in-sql-server.md",
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"redirect_url": "/sql/machine-learning/deploy/modify-r-python-code-to-run-in-sql-server",
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"redirect_document_id": true
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},
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{
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"source_path": "docs/advanced-analytics/r/operationalizing-your-r-code.md",
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"redirect_url": "/sql/machine-learning/r/operationalizing-your-r-code",
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"redirect_document_id": false
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},
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{
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"source_path": "docs/machine-learning/r/operationalizing-your-r-code.md",
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"redirect_url": "/sql/machine-learning/deploy/operationalizing-your-r-code",
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"redirect_document_id": true
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{

docs/azdata/install/deploy-install-azdata-linux-package.md

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@@ -4,7 +4,7 @@ description: Learn how to install the Azure Data CLI (azdata) tool with apt.
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author: MikeRayMSFT
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ms.author: mikeray
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ms.reviewer: mihaelab
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ms.date: 09/30/2020
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ms.date: 04/07/2021
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ms.topic: conceptual
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ms.prod: sql
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ms.technology: big-data-cluster
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For Linux distributions with `apt` there is a package for the `azdata-cli`. The CLI package has been tested on Linux versions which use `apt`:
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- Ubuntu 16.04, Ubuntu 18.04
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- Ubuntu 16.04, Ubuntu 18.04, Ubuntu 20.04
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[!INCLUDE [azdata-package-installation-remove-pip-install](../../includes/azdata-package-installation-remove-pip-install.md)]
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docs/azdata/reference/reference-azdata-app-template.md

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```
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### Optional Parameters
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#### `--name -n`
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Template name. For a full list off supported template namesrun `azdata app template list`
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Template name. For a full list off supported template names, run `azdata app template list`
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#### `--url -u`
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Specify a different template repository location. Default: https://github.com/Microsoft/SQLBDC-AppDeploy.git
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#### `--destination -d`

docs/azdata/reference/reference-azdata-arc-dc-config.md

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#### `--verbose`
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Increase logging verbosity. Use --debug for full debug logs.
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## azdata arc dc config add
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Adds the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escapequotations appropriately. Alternatively, you may use the patch file functionality.
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Adds the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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```bash
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azdata arc dc config add
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```
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#### `--verbose`
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Increase logging verbosity. Use --debug for full debug logs.
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## azdata arc dc config remove
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Removes the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escapequotations appropriately. Alternatively, you may use the patch file functionality.
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Removes the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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```bash
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azdata arc dc config remove
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```
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#### `--verbose`
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Increase logging verbosity. Use --debug for full debug logs.
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## azdata arc dc config replace
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Replaces the value at the json path in the config file. All examplesbelow are given in Bash. If using another command line, please be aware that you may need to escapequotations appropriately. Alternatively, you may use the patch file functionality.
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Replaces the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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```bash
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azdata arc dc config replace
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```

docs/azdata/reference/reference-azdata-arc-postgres-backup.md

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#### `--source-server-name -ssn`
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Name of the source Azure Arc enabled PostgreSQL Hyperscale server group. If not provided, the backup will be restored in place on the server group identified by --server-name.
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#### `--time -t`
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The point in time to restore to, given either as a timestamp or a number and suffix (m for minutes, h for hours, d for days, and w for weeks). E.g. 1.5h goes back 90 minutes. If specifed, --source-server-name must be given to restore the backup from a separate Azure Arc enabled PostgreSQL Hyperscale server group.
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The point in time to restore to, given either as a timestamp or a number and suffix (m for minutes, h for hours, d for days, and w for weeks). E.g. 1.5h goes back 90 minutes. If specified, --source-server-name must be given to restore the backup from a separate Azure Arc enabled PostgreSQL Hyperscale server group.
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### Global Arguments
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#### `--debug`
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Increase logging verbosity to show all debug logs.

docs/azdata/reference/reference-azdata-arc-postgres-server-config.md

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#### `--verbose`
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Increase logging verbosity. Use --debug for full debug logs.
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## azdata arc postgres server config add
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Adds the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escapequotations appropriately. Alternatively, you may use the patch file functionality.
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Adds the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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```bash
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--json-values -j
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#### `--verbose`
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Increase logging verbosity. Use --debug for full debug logs.
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## azdata arc postgres server config remove
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Removes the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escapequotations appropriately. Alternatively, you may use the patch file functionality.
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Removes the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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--json-path -j
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#### `--verbose`
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## azdata arc postgres server config replace
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Replaces the value at the json path in the config file. All examplesbelow are given in Bash. If using another command line, please be aware that you may need to escapequotations appropriately. Alternatively, you may use the patch file functionality.
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Replaces the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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--json-values -j

docs/azdata/reference/reference-azdata-arc-sql-mi-config.md

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#### `--verbose`
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## azdata arc sql mi config add
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Adds the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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#### `--verbose`
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## azdata arc sql mi config remove
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Removes the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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#### `--verbose`
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## azdata arc sql mi config replace
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Replaces the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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docs/azdata/reference/reference-azdata-arc-sql-mi.md

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#### `--memory-limit -ml`
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The limit of the capacity of the managed instance as an integer.
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The request for the capcity of the managed instance as an integer amount of memory in GBs.
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The request for the capacity of the managed instance as an integer amount of memory in GBs.
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#### `--storage-class-data -scd`
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The storage class to be used for data (.mdf). If no value is specified, then no storage class will be specified, which will result in Kubernetes using the default storage class.
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The limit of the capacity of the managed instance as an integer.
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The request for the capcity of the managed instance as an integer amount of memory in GBs.
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The request for the capacity of the managed instance as an integer amount of memory in GBs.
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#### `--no-wait`
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If given, the command will not wait for the instance to be in a ready state before returning.
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### Global Arguments

docs/azdata/reference/reference-azdata-bdc-config.md

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```
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### Optional Parameters
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Big data cluster config file path if you don't want the config of the cluster you are currentlylogged in to, i.e. custom/bdc.json
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Big data cluster config file path if you don't want the config of the cluster you are currently logged in to, i.e. custom/bdc.json
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Removes the value at the json path in the config file. All examples below are given in Bash. If using another command line, please be aware that you may need to escape quotations appropriately. Alternatively, you may use the patch file functionality.
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## azdata bdc config replace
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docs/big-data-cluster/spark-streaming-guide.md

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title: SQL Server Big Data Clusters Spark Streaming Guide
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title: SQL Server Big Data Clusters Spark streaming guide
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titleSuffix: SQL Server Big Data Clusters
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description: This guide covers streaming use cases and how to implement it using SQL Server Big Data Clusters capabilities.
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author: dacoelho
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---
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# SQL Server Big Data Clusters Spark Streaming Guide
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# SQL Server Big Data Clusters Spark streaming guide
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[!INCLUDE[SQL Server 2019](../includes/applies-to-version/sqlserver2019.md)]
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This guide covers streaming use cases and how to implement it using SQL Server Big Data Clusters Spark.
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This guide covers streaming use cases and how to implement it using SQL Server Big Data Clusters Spark.
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In this guide, you'll learn how to:
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This guide assumes good level of understanding of streaming technology concepts and architectures.
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The following articles provide excellent conceptual baselines:
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* [Data Architecture Guide - Real time processing](https://docs.microsoft.com/azure/architecture/data-guide/big-data/real-time-processing)
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* [Use Azure Event Hubs from Apache Kafka applications](https://docs.microsoft.com/azure/event-hubs/event-hubs-for-kafka-ecosystem-overview)
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* [Data Architecture Guide - Choosing a real-time message ingestion technology in Azure](https://docs.microsoft.com/azure/architecture/data-guide/technology-choices/real-time-ingestion)
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* [Data Architecture Guide - Real time processing](/azure/architecture/data-guide/big-data/real-time-processing)
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* [Use Azure Event Hubs from Apache Kafka applications](/azure/event-hubs/event-hubs-for-kafka-ecosystem-overview)
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* [Data Architecture Guide - Choosing a real-time message ingestion technology in Azure](/azure/architecture/data-guide/technology-choices/real-time-ingestion)
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### Apache Kafka and Azure Event Hub conceptual mapping
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### Reproducibility
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This guide leverages the producer application provided by the [Quickstart: Data streaming with Event Hubs using the Kafka protocol](https://docs.microsoft.com/azure/event-hubs/event-hubs-quickstart-kafka-enabled-event-hubs). Furthermore, there are sample applications in many programming languages on [Azure Event Hubs for Apache Kafka GitHub](https://github.com/Azure/azure-event-hubs-for-kafka) page to help you jumpstart streaming scenarios.
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This guide leverages the producer application provided by the [Quickstart: Data streaming with Event Hubs using the Kafka protocol](/azure/event-hubs/event-hubs-quickstart-kafka-enabled-event-hubs). Furthermore, there are sample applications in many programming languages on [Azure Event Hubs for Apache Kafka GitHub](https://github.com/Azure/azure-event-hubs-for-kafka) page to help you jumpstart streaming scenarios.
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Here is a modified `producer.py` that streams simulated sensor JSON data into Streaming engine using a Kafka compatible client. It is important to notice that Azure Event Hubs is Kafka protocol compatible. Follow the setup instructions in the [GitHub repository](https://github.com/Azure/azure-event-hubs-for-kafka/tree/master/quickstart/python) to get the sample to work for you. The `conf` dictionary is where all connection information takes place and your mileage may vary depending on your environment. Make sure you replace at least `bootstrap.servers` and `sasl.password` as it is the most relevant configuration in the code sample bellow.
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