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We're here to help you find itThe Microsoft Azure Data Explorer with Advanced KQL course is a comprehensive learning path for professionals who aim to master data analytics within the Azure environment. This course dives deep into Azure Data Explorer (ADX), a high-performance analytics service designed for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more.
Starting with an overview of Azure Data Explorer and its architecture, learners will understand its key characteristics, use cases, and security aspects. They will then progress to building and managing the infrastructure, including cluster creation, scaling, and cost management. The core of the course focuses on querying data with KQL (Kusto Query Language), exploring its syntax, operators, and advanced features to manipulate and extract insights from data.
Learners will also gain skills in visualizing data, leveraging various tools such as Power BI and Grafana for compelling data representation. The course includes modules on monitoring ADX for optimal performance, user analytics, geographic analysis, and diagnostic analysis. Advanced topics cover time series analysis, anomaly detection, forecasting, and extending ADX capabilities using inline Python and R for sophisticated data analysis.
This course equips learners with the expertise to harness the full potential of Azure Data Explorer and KQL, making them valuable assets in data-driven organizations.
Successfully delivered 6 sessions for over 46 professionals
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USD
View Fees Breakdown
| Course Fee | 850 |
|
Total Fees |
850 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Prem Nidhi Sharma
An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience.
I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.
My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.
In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.
I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.
The Microsoft Azure Data Explorer with Advanced KQL course is ideal for IT professionals seeking to master data analytics and querying on Azure.
Gain mastery of Microsoft Azure Data Explorer and Advanced KQL to efficiently manage, query, and visualize big data, conduct analytics, and leverage extensibility with Python/R for in-depth analysis.
