Azure Data Explorer documentation
Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. You can use Azure Data Explorer to collect, store, and analyze diverse data to improve products, enhance customer experiences, monitor devices, and boost operations.
Training
Training
- Free Pluralsight training: Azure Data Explorer
- Training module: Introduction to Azure Data Explorer
- Training module: Explore the fundamentals of data analysis using Kusto Query Language (KQL)
- Training module: Write your first query with Kusto Query Language
- Training module: Gain insights from your data by using Kusto Query Language
- Training module: Multi-table queries using Kusto Query Language
- Training module: Characterize an unfamiliar dataset with Azure Data Explorer
- Training module: Create dashboards in Azure Data Explorer
- Learning path: Data analysis in Azure Data Explorer with Kusto Query Language
Create cluster and database
Quickstart
How-To Guide
Ingest data into Azure Data Explorer
Concept
Quickstart
How-To Guide
Query data
Quickstart
Tutorial
How-To Guide
Reference
Visualize data
Concept
How-To Guide
Manage and monitor resources and data
How-To Guide
- Manage cluster horizontal scaling
- Manage cluster vertical scaling
- Follower databases
- Manage database permissions
- Use metrics to monitor cluster health
- Use diagnostic logs to monitor ingestion
Reference
Architecture
How-To Guide
- Big data analytics with Azure Data Explorer
- Content Delivery Network analytics
- Azure Data Explorer monitoring
- Azure Data Explorer interactive analytics
- IoT analytics with Azure Data Explorer
- Geospatial data processing and analytics
- Long-term security log retention with Azure Data Explorer
- Data analytics for automotive test fleets
- Real-Time analytics with Azure Service Bus