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articles/data-explorer/end-to-end-csharp.md

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# A End-to-End example for ingesting blobs into Azure Data Explorer using Python
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# An End-to-End example for ingesting blobs into Azure Data Explorer using Python
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> [!div class="op_single_selector"]
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> * [C#](data-connection-csharp.md)
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> * [Python](data-connection-python.md)
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> * [C#](end-to-end-csharp.md)
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> * [Python](end-to-end-python.md)
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>
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Azure Data Explorer is a fast and scalable data exploration service for log and telemetry data. In this article, it gives you an End-to-End example about how to ingest data from a blob storage into Azure Data Explorer. You will learn how to programmatically create a resource group, azure resources (a storage account, an event hub, an Azure Data Explorer cluster), and how to configure Azure Data Explorer to ingest data from an storage account.
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Azure Data Explorer is a fast and scalable data exploration service for log and telemetry data. In this article, it gives you an End-to-End example about how to ingest data from a blob storage into Azure Data Explorer. You will learn how to programmatically create a resource group, azure resources (a storage account, an event hub, an Azure Data Explorer cluster), and how to configure Azure Data Explorer to ingest data from a storage account.
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## Prerequisites
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[!INCLUDE [data-explorer-e2e-event-grid-resource-template](../../includes/data-explorer-e2e-event-grid-resource-template.md)]
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## Code Example
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The following code example shows how to prepare all the relevant resources, and configurations for ingesting blobs into Azure Data Explorer step by step.
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The following code example shows how to create azure resources, and configurations for ingesting blobs into Azure Data Explorer step by step.
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```csharp
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var tenantId = "xxxxxxxx-xxxxx-xxxx-xxxx-xxxxxxxxx";//Directory (tenant) ID
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```csharp
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await resourceManagementClient.ResourceGroups.DeleteAsync(resourceGroupName);
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```
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```
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## Next steps
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* [Create an Azure Data Explorer cluster and database](create-cluster-database-csharp.md) to learn about other ways to create a cluster and database.
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* [Azure Data Explorer data ingestion](ingest-data-overview.md) to learn more about ingestion methods.
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* [Quickstart: Query data in Azure Data Explorer](web-query-data.md) Web UI.
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* [Write queries](write-queries.md) with Kusto Query Language.

articles/data-explorer/end-to-end-python.md

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# A End-to-End example for ingesting blobs into Azure Data Explorer using Python
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# An End-to-End example for ingesting blobs into Azure Data Explorer using Python
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> [!div class="op_single_selector"]
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> * [C#](end-to-end-csharp.md)
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> * [Python](end-to-end-python.md)
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>
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Azure Data Explorer is a fast and scalable data exploration service for log and telemetry data. In this article, it gives you an End-to-End example about how to ingest data from a blob storage into Azure Data Explorer. You will learn how to programmatically create a resource group, azure resources (a storage account, an event hub, an Azure Data Explorer cluster), and how to configure Azure Data Explorer to ingest data from an storage account.
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Azure Data Explorer is a fast and scalable data exploration service for log and telemetry data. In this article, it gives you an End-to-End example about how to ingest data from a blob storage into Azure Data Explorer. You will learn how to programmatically create a resource group, azure resources (a storage account, an event hub, an Azure Data Explorer cluster), and how to configure Azure Data Explorer to ingest data from a storage account.
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## Prerequisites
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[!INCLUDE [data-explorer-e2e-event-grid-resource-template](../../includes/data-explorer-e2e-event-grid-resource-template.md)]
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## Code Example
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The following code example shows how to prepare all the relevant resources, and configurations for ingesting blobs into Azure Data Explorer step by step.
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The following code example shows how to create azure resources, and configurations for ingesting blobs into Azure Data Explorer step by step.
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```python
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from azure.common.credentials import ServicePrincipalCredentials
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```python
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resource_client.resource_groups.delete(resource_group_name=resource_group_name)
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```
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```
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## Next steps
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* [Create an Azure Data Explorer cluster and database](create-cluster-database-python.md) to learn about other ways to create a cluster and database.
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* [Azure Data Explorer data ingestion](ingest-data-overview.md) to learn more about ingestion methods.
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* [Quickstart: Query data in Azure Data Explorer](web-query-data.md) Web UI.
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* [Write queries](write-queries.md) with Kusto Query Language.

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