使用 Power BI 的 Azure 数据资源管理器连接器直观显示数据Visualize data using the Azure Data Explorer connector for Power BI
Azure 数据资源管理器是一项快速且高度可缩放的数据探索服务，适用于日志和遥测数据。Azure Data Explorer is a fast and highly scalable data exploration service for log and telemetry data. Power BI 是一种业务分析解决方案，可以用来可视化数据，并在组织内共享结果。Power BI is a business analytics solution that lets you visualize your data and share the results across your organization. Azure 数据资源管理器提供三个可以在 Power BI 中连接到数据的选项：使用内置连接器、从 Azure 数据资源管理器导入查询，或者使用 SQL 查询。Azure Data Explorer provides three options for connecting to data in Power BI: use the built-in connector, import a query from Azure Data Explorer, or use a SQL query. 本文介绍如何使用内置连接器获取数据并在 Power BI 报表中直观显示这些数据。This article shows you how to use the built-in connector to get data and visualize it in a Power BI report. 使用 Azure 数据资源管理器本机连接器创建 Power BI 仪表板非常简单。Using the Azure Data Explorer native connector for creating Power BI dashboards is straightforward. Power BI 连接器支持导入和直接查询连接模式。The Power BI connector supports Import and Direct Query connectivity modes. 根据方案、规模和性能需求，可以使用导入或 DirectQuery 模式构建仪表板。You can build dashboards using Import or DirectQuery mode depending on the scenario, scale, and performance requirements.
先决条件Prerequisites
若要完成本文，需要满足以下条件：You need the following to complete this article:
- 如果没有 Azure 订阅，可在开始前创建一个试用帐户。If you don't have an Azure subscription, create a trial account before you begin.
- 一个属于 Azure Active Directory 成员的组织电子邮件帐户，以便连接到 Azure 数据资源管理器帮助群集。An organizational email account that is a member of Azure Active directory, so you can connect to the Azure Data Explorer help cluster.
- Power BI Desktop（选择“免费下载” ）Power BI Desktop (select DOWNLOAD FREE)
从 Azure 数据资源管理器获取数据Get data from Azure Data Explorer
首先连接到 Azure 数据资源管理器帮助群集，然后从 StormEvents 表引入一部分数据。First, you connect to the Azure Data Explorer help cluster, then you bring in a subset of the data from the StormEvents table. StormEvents 示例数据集包含国家环境信息中心中与天气相关的数据。The StormEvents sample data set contains weather-related data from the National Centers for Environmental Information.
在 Power BI Desktop 的“主页”选项卡上选择“获取数据”，然后选择“更多” 。In Power BI Desktop, on the Home tab, select Get Data then More.
搜索“Azure 数据资源管理器” ，选择“Azure 数据资源管理器”，然后选择“连接” 。Search for Azure Data Explorer, select Azure Data Explorer then Connect.
在“Azure 数据资源管理器(Kusto)” 屏幕上，使用以下信息填写表单。On the Azure Data Explorer (Kusto) screen, fill out the form with the following information.
设置Setting 值Value 字段说明Field description 群集Cluster https://help.kusto.chinacloudapi.cn 帮助群集的 URL。The URL for the help cluster. 其他群集的 URL 采用 https://<ClusterName>.<区域>.kusto.chinacloudapi.cn 格式。For other clusters, the URL is in the form https://<ClusterName>.<Region>.kusto.chinacloudapi.cn. 数据库Database 留空Leave blank 托管在要连接到的群集上的数据库。A database that is hosted on the cluster you're connecting to. 我们会在后面的步骤中选择此项。We'll select this in a later step. 表名称Table name 留空Leave blank 数据库中的一个表，或者类似 StormEvents | take 1000的查询。One of the tables in the database, or a query likeStormEvents | take 1000. 我们会在后面的步骤中选择此项。We'll select this in a later step.高级选项Advanced options 留空Leave blank 查询选项，例如结果集大小。Options for your queries, such as result set size. 数据连接模式Data connectivity mode DirectQueryDirectQuery 确定 Power BI 是导入数据还是直接连接到数据源。Determines whether Power BI imports the data or connects directly to the data source. 可以对此连接器使用任一选项。You can use either option with this connector. 备注
在导入模式下，数据将移到 Power BI。In Import mode, data is moved to Power BI. 在 DirectQuery 模式下，直接从 Azure 数据资源管理器群集查询数据。In DirectQuery mode, data is queried directly from your Azure Data Explorer cluster.
在以下情况下使用导入模式：Use Import mode when:
- 数据集很小。Your data set is small.
- 不需要接近实时的数据。You don't need near real-time data.
- 数据已聚合，或在 Kusto 中执行聚合Your data is already aggregated or you perform aggregation in Kusto
在以下情况下使用 DirectQuery 模式：Use DirectQuery mode when:
- 数据集非常大。Your data set is very large.
- 需要接近实时的数据。You need near real-time data.
如果还没有连接到帮助群集，请登录。If you don't already have a connection to the help cluster, sign in. 使用组织帐户登录，然后选择“连接”。 Sign in with an organizational account, then select Connect.
在“导航器”屏幕上，展开 Samples 数据库，选择“StormEvents”，然后选择“编辑”。 On the Navigator screen, expand the Samples database, select StormEvents then Edit.
表在 Power Query 编辑器中打开，可以在其中编辑行和列，然后导入数据。The table opens in Power Query Editor, where you can edit rows and columns before importing the data.
在 Power Query 编辑器中，选择“DamageCrops”列旁边的箭头，然后选择“降序排序”。 In the Power Query Editor, select the arrow next to the DamageCrops column then Sort descending.
在“主页”选项卡中，选择“保留行”，然后选择“保留最前面几行”。 On the Home tab, select Keep Rows then Keep Top Rows. 输入值 1000，引入已存储表的前面 1000 行。Enter a value of 1000 to bring in the top 1000 rows of the sorted table.
在“主页” 选项卡上，选择“关闭并应用” 。On the Home tab, select Close & Apply.
在报表中将数据可视化Visualize data in a report
Power BI Desktop 中有了数据以后，即可创建基于该数据的报表。Now that you have data in Power BI Desktop, you can create reports based on that data. 将创建一个简单的包含柱状图的报表，以便按州显示作物损坏情况。You'll create a simple report with a column chart that shows crop damage by state.
在 Power BI 主窗口左侧，选择报表视图。On the left side of the main Power BI window, select the report view.
在“可视化” 窗格中，选择“簇状柱形图”。In the VISUALIZATIONS pane, select the clustered column chart.
会向画布添加一个空白图。A blank chart is added to the canvas.
在“字段” 列表中，选择“DamageCrops” 和“州” 。In the FIELDS list, select DamageCrops and State.
现在已有一张图表，显示表中最前面 1000 行对应的作物损坏情况。You now have a chart that shows the damage to crops for the top 1000 rows in the table.
保存报表。Save the report.
清理资源Clean up resources
如果不再需要为本文创建的报表，请删除 Power BI Desktop (.pbix) 文件。If you no longer need the report you created for this article, delete the Power BI Desktop (.pbix) file.