Data analysis in Azure Data Explorer with Kusto Query Language
- Offered byMicrosoft
Data analysis in Azure Data Explorer with Kusto Query Language at Microsoft Overview
Duration | 3 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
Data analysis in Azure Data Explorer with Kusto Query Language at Microsoft Course details
- Introduction to Azure Data Explorer
- Write your first query with Kusto Query Language
- Gain insights from your data by using Kusto Query Language
- Multi-table queries using Kusto Query Language
- Characterize an unfamiliar dataset with Azure Data Explorer
- Create dashboards in Azure Data Explorer
- In this learning path, students will learn how to analyze data in Azure Data Explorer using the Kusto Query Language
- Learn to describe the ingestion, query, visualization, and data management features that Azure Data Explorer provides to help you make sense of the data flowing into your business
- Get started by writing simple queries in Kusto Query Language (KQL) to explore and gain insights from your data
- Use queries to visualize data trends, and then share these queries and results with others
Data analysis in Azure Data Explorer with Kusto Query Language at Microsoft Curriculum
Introduction to Azure Data Explorer
Introduction
What is Azure Data Explorer?
How Azure Data Explorer works
When to use Azure Data Explorer
Knowledge check
Summary
Write your first query with Kusto Query Language
Introduction
Understand the basic structure of a Kusto query
Exercise - Connect to resources
Exercise - Return a specific number of rows by using the take operator
Exercise - Select columns to return by using the project operator
Exercise - Filter data by using the where operator
Exercise - Reorder returned data by using the sort operator
Challenge
Solution
Knowledge check
Summary
Gain insights from your data by using Kusto Query Language
Introduction
Group data using aggregate functions
Exercise - Connect to resources
Exercise - Count events using the count function
Exercise - Visualize data with the render operator
Exercise - Summarize data using aggregate functions
Exercise - Introduce variables using the let statement
Challenge
Solution
Knowledge check
Summary
Multi-table queries using Kusto Query Language
Introduction
Combine and optimize data
Exercise - Connect to resources
Exercise - Combine table results using the join operator
Exercise - Combine table results using the lookup operator
Exercise - Combine table results using the union operator
Exercise - Optimize queries by using the materialize function
Knowledge check
Summary
Characterize an unfamiliar dataset with Azure Data Explorer
Introduction
Exercise: Connect to resources
Characterize data with Azure Data Explorer
Exercise: Take a first look at your data
Explore the data structure using queries
Exercise: Use queries to explore your data
Exercise: Use queries to explore trends
Exercise: Share queries with others
Knowledge check
Summary
Create dashboards in Azure Data Explorer
Introduction
Exercise: Connect to resources
Dashboards in Azure Data Explorer
Exercise: Create a dashboard from a query
Exercise: Add a new tile
Dashboard parameters
Exercise: Create a dashboard parameter
Exercise: Create a cross-filter
Share dashboards
Knowledge check
Summary