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.