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Copy file name to clipboardExpand all lines: articles/data-explorer/end-to-end-csharp.md
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ms.date: 09/24/2019
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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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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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vartenantId="xxxxxxxx-xxxxx-xxxx-xxxx-xxxxxxxxx";//Directory (tenant) ID
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Copy file name to clipboardExpand all lines: articles/data-explorer/end-to-end-python.md
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ms.date: 09/24/2019
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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.
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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