Microsoft Azure Data Explorer with Advanced KQL

Course Description

This SkillDynamo course develops practical, role-relevant capability in ingesting, querying, analyzing, optimizing, securing, and operationalizing data in Azure Data Explorer with advanced KQL. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.

Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.

The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.

What You Will Learn

• Explain clusters, databases, tables, mappings, retention, caching, ingestion methods, identities, and permissions
• Ingest batch and streaming data with validation, update policies, transformations, monitoring, and failure handling
• Use where, project, extend, summarize, distinct, sort, top, let, scalar functions, and dynamic data
• Create charts, timecharts, tables, bins, percentiles, distributions, and decision-focused query outputs
• Use joins, unions, lookups, mv-expand, parse, regex, windows, sequences, anomaly, and time-series functions
• Create reusable functions, parameters, materialized views, query patterns, and multi-source analysis
• Optimize query shape, data types, filters, joins, caching, ingestion, partitions, and workload evidence
• Apply roles, row-level controls, auditing, alerts, dashboards, workbooks, support, and operational governance

SkillDynamo Training Approach

SkillDynamo delivers this course through demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, and communication so the skills transfer confidently into real workplace situations.