Cloud Computing8
Microsoft Azure Data Explorer with Advanced KQL Course
Duration
2 Days
Upcoming Batch
19 October 2026 - 20 October 2026
Batch Options
8 hours & 4 hours
Language
English / Arabic
Course Overview
The Microsoft Azure Data Explorer with Advanced KQL offered by CounselTrain provides an in-depth exploration of data analytics within the Azure ecosystem. This course focuses on mastering Azure Data Explorer (ADX), a powerful analytics service designed for real-time analysis of large data volumes from applications, websites, IoT devices, and more.
The course begins with an overview of Azure Data Explorer, covering its architecture, key features, use cases, and security considerations. Learners will then progress to building and managing ADX infrastructure, including cluster creation, scaling, and cost management. Central to the course is an in-depth study of Kusto Query Language (KQL), including its syntax, operators, and advanced features for data manipulation and insight extraction.
Participants will also develop skills in data visualization, using tools like Power BI and Grafana to create compelling data representations. The course includes modules on monitoring ADX performance, conducting user and geographic analysis, and performing diagnostic analysis. Advanced topics cover time series analysis, anomaly detection, forecasting, and extending ADX capabilities with inline Python and R for sophisticated data analysis.
By completing this course, learners will acquire the expertise to fully leverage Azure Data Explorer and KQL, enhancing their ability to drive data-driven decision-making and become valuable assets in any data-centric organization.
Course Content
11 modules · 59 topics01Module 1: Getting Started with Azure Data Explorer: Overview and Architecture4 topics
- What Is Azure Data Explorer and Why Should I Use It?
- ADX Key Characteristics and Use Cases
- ADX Architecture, Components, and Scalability
- ADX Security
02Module 2: Understanding and Creating Azure Data Explorer Infrastructure7 topics
- Understanding and Creating Azure Data Explorer Infrastructure
- ADX Cost: Selecting the SKU for Your Use Case
- Creating a Cluster
- Managing Cluster Scaling
- Creating a Database
- Managing Database Permissions
- The Azure Data Explorer Web UI
03Module 3: Querying Data in Azure Data Explorer6 topics
- Getting to Know the Kusto Query Language (KQL)
- Querying Azure Data Explorer, the Help Cluster, and the Sample Database2m
- Getting Started with Kusto Control Commands
- The Basics of KQL - Most Commonly Used Operators
- More KQL Operators
- Querying Data in Azure Monitor and Using the Flow Kusto Connector
04Module 4: Visualizing Data in Azure Data Explorer6 topics
- Visualizing the Results of a Query with the Render Operator
- Data Visualization Using the Azure Data Explorer Dashboard
- Visualizing Data Using Power BI
- Visualizing Data in Kibana with the K2Bridge Open-source Connector
- Visualizing Data in Tableau with the ODBC Connector
- Visualizing Data in Sisense with the JDBC Connector
05Module 5: Monitoring in Azure Data Explorer5 topics
- Monitoring in Azure Data Explorer
- Using Metrics to Monitor Cluster Health
- Adding Diagnostic Logs to Monitor Ingestion
- Use Resource Health to Monitor Cluster Health
- Troubleshooting
06Module 6: Exploring User Analytics6 topics
- Introduction
- Sliding Window Counts
- Active User Counts
- Activity Counts Metrics
- Activity Metrics
- Activity Engagement
07Module 7: Executing Geographic Analysis5 topics
- Nearby Events: Circle
- Nearby Events: Line
- Geofencing
- Clustering
- Geospatial Joins
08Module 8: Performing Diagnostic and Root Cause Analysis5 topics
- Introduction to Diagnostic and Root Cause Analysis
- Using Autocluster
- Using Basket
- Using Diffpatterns
- Performing Verification
09Module 9: Time Series Analysis 1 – Creation and Core Functions6 topics
- Make Series
- Series FIR
- Series Fit Line and Fit 2 Lines
- Seasonality Detection
- Series Subtract
- Time Series at Scale
10Module 10: Time Series Analysis 2 – Anomaly Detection and Forecasting4 topics
- Decomposition
- Anomaly Detection
- Forecasting
- Scalability
11Module 11: Extensibility Using Inline Python / R5 topics
- Introduction to Calling Python and R from KQL
- The Mechanics of Calling Python
- Time Series Analysis Using Python's Numpy
- Using Python's K Means Clustering from KQL
- Calling R from KQL
Schedule Dates
4 upcoming batchesSession TypePhysical sessions run at our training facility.
| Batch Dates | Duration | Batch Options | Language | Action |
|---|---|---|---|---|
| 19 October 2026 - 20 October 2026 | 2 Days | 8 hours & 4 hours | English / Arabic | |
| 25 January 2027 - 26 January 2027 | 2 Days | 8 hours & 4 hours | English / Arabic | |
| 26 April 2027 - 27 April 2027 | 2 Days | 8 hours & 4 hours | English / Arabic | |
| 26 July 2027 - 27 July 2027 | 2 Days | 8 hours & 4 hours | English / Arabic |
Can’t find a suitable date? Request a schedule that fits your team.
Request More InformationFAQs
What are the prerequisites for enrolling in this course?
Participants should have a basic understanding of data analysis concepts and experience with Azure Data Explorer or similar data platforms. Familiarity with basic KQL is also recommended.
What skills will I gain from this course?
You will learn to:
- Perform advanced data analysis using KQL in Azure Data Explorer.
- Create complex queries and visualizations.
- Optimize query performance and manage data efficiently.
- Apply best practices for analyzing large datasets with ADX.
Will there be hands-on exercises?
Yes, the course includes practical labs where you will apply advanced KQL techniques to analyze and visualize data using Azure Data Explorer.
How can I enroll in the course?
To enroll, visit the CounselTrain website and complete the registration process. For additional assistance, reach out to our support team.
How does this course benefit my career?
The course enhances your ability to perform advanced data analysis and visualization using Azure Data Explorer, boosting your expertise and career prospects in data analysis and engineering.
How We Deliver
Flexible Training Options to Meet Your Needs
Choose how you learn — live online, in-classroom, at your workplace, or internationally. CounselTrain delivers certified IT training across the UAE in the format that fits your team.
Select the method that best suits your needs.
Online Instructor-Led Training
Learn from the comfort of your workplace or at home through live virtual sessions led by expert trainers.
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Classroom Training
Participate in interactive, face-to-face training in our top 5-star training facilities in Dubai.
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Onsite Training
Learn a customised curriculum in your workplace to ensure the most impact and team participation.
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Overseas Training
Participate in our international training sessions and improve your abilities with world-class instructors.
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