Kusto Query Language (KQL) is the query language used to perform analysis on data to create Analytics, Workbooks, and perform Hunting in Microsoft Sentinel. Understanding basic KQL statement structure provides the foundation to build more complex statements. You're a Security Operations Analyst working at a company that is implementing Microsoft Sentinel. You're responsible for performing log data analysis to search for malicious activity, display visualizations, and perform threat hunting. To query log data, you use the Kusto Query Language (KQL).
Course Objectives:
In this course, you will learn to:
- Grasp the basics of KQL commands, syntax, elements, and operators for querying Azure data services.
- Execute KQL queries efficiently and interpret the results to gain insightful data analysis.
- Utilize the Summarize Operator to filter, sort, and prepare data for in-depth analysis.
- Create compelling data visualizations using the Render operator to communicate findings clearly.
- Construct complex, multi-table statements with the Union and Join operators to consolidate data from various sources.
- Understand and apply KQL statement structures specifically for Microsoft Sentinel to enhance security analytics.
- Develop proficiency in using essential KQL operators like Let, Search, Where, Extend, Order, and Project for refined data manipulation.
- Write and run your first KQL query, connecting to resources and manipulating data with operators like Take, Project, Where, and Sort.
- Learn to export data effectively from KQL queries to CSV files for reporting and to Power BI for advanced visualization and analytics.
- Gain the ability to troubleshoot and optimize KQL queries, improving performance and accuracy in real-world Azure administration scenarios.
Course content
Introduction to KQL
- Introduction to KQL commands
- Understanding of syntax
- Elements and operators
- Running KQ queries
Introduction to Databases and Logging
- Introduction to Databases
- Databases vs. Excel Spreadsheets
- Overview of Microsoft Sentinel and Microsoft 365 Defender Logging
Analyze query results using KQL
- Summarize Operator uses
- Summarize Operator to filter results
- Summarize Operator to prepare data
- Render operator to create visualizations
Build Multi-Table Statements using KQL
- Union Operator uses
- Join Operator uses
Construct KQL Statements for Microsoft Sentinel
- Understand the KQL language statement structure
- Let statement uses
- Search operator uses
- Where operator uses
- Extend operator uses
- Order operator uses
- Project operator use
Work with data in Microsoft Sentinel using Kusto Query Language
- Extract data from unstructured string fields
- Extract data from structured string data
- Integrate external data
- Create parsers with functions
Write your first query with KQL
- Understand the basic structure of a KQ
- Connect to resources
- Return a specific number of rows by using the take operator
- Select column to return by using the project operator
- Filter data by using the where operator
- Reorder return data by using the sort operator
- Join Operator uses
Export data using KQL
- Export to csv files
- Export to Power BI
To see the full course content Download now
Course Prerequisites
- Basic understanding of database concepts and familiarity with traditional SQL or any similar query language, as this will help in grasping KQL syntax and concepts more easily.
- Fundamental knowledge of Azure services, particularly those that integrate with KQL, such as Azure Log Analytics, Azure Monitor, and Microsoft Sentinel.
- Experience with data analysis and manipulation, which will be beneficial when learning to summarize, filter, and visualize data using KQL.
- A general grasp of IT operations, including monitoring and diagnostics, as this will help in understanding the practical applications of KQL within Azure administration tasks.
- Basic proficiency with Microsoft Excel or Power BI is helpful for the module on exporting data, although not strictly necessary.
Who can attend
- Azure Administrators
- Data Engineers
- Cloud Solution Architects
- Security Analysts working with Microsoft Sentinel
- IT Professionals interested in analytics and data visualization within Azure
- Database Administrators looking to expand their querying skills
- System Analysts and Developers responsible for monitoring and querying Azure resources
- Business Intelligence Professionals seeking to integrate Azure data with Power BI
- Technical Support Engineers involved in troubleshooting Azure environments
- DevOps Engineers who need to analyze and visualize data as part of continuous integration/continuous deployment processes
Number of Hours: 20hrs
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