Azure 数据资源管理器工具和集成概述Azure Data Explorer tools and integrations overview
Azure 数据资源管理器是一项快速、完全托管的数据分析服务,用于实时分析从应用程序、网站、IoT 设备及其他资源流式传输的大量数据。Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis of large volumes of data streaming from applications, websites, IoT devices, and more. Azure 数据资源管理器收集、存储和分析多种不同数据,以改良产品、增强客户体验、监视设备和改进操作。Azure Data Explorer collects, stores, and analyzes diverse data to improve products, enhance customer experiences, monitor devices, and boost operations.
Azure 数据资源管理器提供不同的工具和集成,以实现数据引入、查询、可视化、编排及其他功能。Azure Data Explorer offers different tools and integrations to do data ingestion, queries, visualization, orchestration and more. 用户除了可以利用 Azure 数据资源管理器的本机服务以外,还可通过它与各种不同产品和平台轻松集成,启用各种不同的客户用例,以及简化工作流并降低成本来优化业务流程。In addition to its native services, Azure Data Explorer allows users to integrate easily with various products and platforms, enable various customer use cases, optimize the business process by streamlining workflows, and reducing costs.
本文提供了 Azure 数据资源管理器工具、连接器和集成的列表,其中包含相关文档的链接以便你获取更多信息。This article supplies you with a list of Azure Data Explorer tools, connectors, and integrations with links to relevant documents for additional information.
引入数据Ingest data
数据引入是用于从一个或多个源将数据记录加载到 Azure 数据资源管理器中的进程。Data ingestion is the process used to load data records from one or more sources into Azure Data Explorer. 引入后,数据即可用于查询。Once ingested, the data becomes available for query. Azure 数据资源管理器为数据引入提供了多种工具和连接器。Azure Data Explorer provides several tools and connectors for data ingestion.
Azure 数据资源管理器引入工具Azure Data Explorer ingestion tools
- LightIngest - 一种帮助实用程序,可以将数据临时引入 Azure 数据资源管理器LightIngest - Help utility for ad-hoc data ingesting into Azure Data Explorer
引入集成Ingestion integrations
- 事件中心:从事件中心引入概述以及使用 Azure 门户、C#、Python 或 Azure 资源管理器模板Event Hub: Ingest from Event Hub overview and using the Azure portal, C#, Python or Azure Resource Manager template
- IoT 中心:从 IoT 中心引入概述以及使用 Azure 门户、C#、Python 或 Azure 资源管理器模板IoT Hub: Ingest from IoT Hub overview and using the Azure portal, C#, Python or Azure Resource Manager template
- LogstashLogstash
- Azure 数据工厂:集成概述、复制数据、使用 Azure 数据工厂模板批量复制和使用 Azure 数据工厂命令活动运行 Azure 数据资源管理器控制命令Azure Data Factory: integration overview, copy data, Copy in bulk using the Azure Data Factory template, and run Azure Data Explorer control commands using Azure Data Factory command activity
- Apache SparkApache Spark
- Apache KafkaApache Kafka
- Cosmos DBCosmos DB
查询数据Query data
Azure 数据资源管理器查询工具Azure Data Explorer query tools
Azure 数据资源管理器中有几种工具可用于运行查询。There are several tools available for running queries in Azure Data Explorer.
- Kusto.ExplorerKusto.Explorer
- 安装和用户界面、使用 Kusto.Explorerinstallation and user interface, using Kusto.Explorer
- 其他主题包括选项、故障排除、键盘快捷方式、代码重构、代码导航和代码分析Additional topics include options, troubleshooting, keyboard shortcuts, code refactoring, code navigation, and code analyze
- Web UIWeb UI
- Kusto.CliKusto.Cli
查询集成Query integrations
- Azure MonitorAzure Monitor
- Azure 数据湖Azure Data Lake
- Apache SparkApache Spark
- Azure Data Studio:Kusto 扩展概述、使用 Kusto 和使用 KqlmagicAzure Data Studio: Kusto extension overview, use Kusto, and use Kqlmagic
可视化、仪表板和报告Visualizations, dashboards, and reporting
可视化概述详细介绍了数据可视化、仪表板和报告选项。The visualization overview details data visualization, dashboards, and reporting options.
Notebook 连接Notebook connectivity
- Jupyter NotebookJupyter Notebooks
- Azure Data Studio:Kusto 扩展概述、使用 Kusto 和使用 KqlmagicAzure Data Studio: Kusto extension overview, use Kusto, and use Kqlmagic