Data visualization with Azure Data Explorer
Azure Data Explorer is a fast and highly scalable data exploration service for log and telemetry data that is used to build complex analytics solutions for vast amounts of data. Azure Data Explorer integrates with various visualization tools, so you can visualize your data and share the results across your organization. This data can be transformed into actionable insights to make an impact on your business.
Data visualization and reporting is a critical step in the data analytics process. Azure Data Explorer supports many BI services so you can use the one that best fits your scenario and budget.
Azure Data Explorer dashboards
Azure Data Explorer dashboards is a web application that enables you to run queries and build dashboards in the stand-alone web application, the Web UI. Azure Data Explorer dashboards provide three main advantages:
- Natively export queries from the Web UI to Azure Data Explorer dashboards.
- Explore the data in the Web UI.
- Optimized dashboard rendering performance.
For more information see, Visualize data with Azure Data Explorer dashboards.
Kusto query language visualizations
The Kusto query language
render operator offers various visualizations such as tables, pie charts, and bar charts to depict query results. Query visualizations are helpful in anomaly detection and forecasting, machine learning, and more.
Azure Data Explorer provides the capability to connect to Power BI using various methods:
Grafana provides an Azure Data Explorer plugin that enables you to visualize data from Azure Data Explorer. You set up Azure Data Explorer as a data source for Grafana, and then visualize the data.
Azure Data Explorer provides the capability to connect to Kibana using K2Bridge, an open source connector. You set up Azure Data Explorer as a data source for Kibana, and then visualize the data.
Azure Data Explorer provides an Open Database Connectivity (ODBC) connector so any application that supports ODBC can connect to Azure Data Explorer.
Azure Data Explorer provides the capability to connect to Qlik using the ODBC connector and then create Qlik Sense dashboards and visualize the data. Using the following video, you can learn to visualize Azure Data Explorer data with Qlik.
Azure Data Explorer provides the capability to connect to Sisense using the JDBC connector. You set up Azure Data Explorer as a data source for Sisense, and then visualize the data.
You can use Redash to build dashboards and visualize data. Set up Azure Data Explorer as a data source for Redash, and then visualize the data.