Mastering Azure Data Explorer
Build practical capability in designing, ingesting, querying, optimizing, securing, and operating analytical solutions with Azure Data Explorer, Kusto Query Language, data connections, dashboards, performance controls, monitoring, troubleshooting, governance, and production readiness through four…
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Mastering Azure Data Explorer course develops practical, role-relevant capability in designing, ingesting, querying, optimizing, securing, and operating analytical solutions with Azure Data Explorer, Kusto Query Language, data connections, dashboards, performance controls, monitoring, troubleshooting, governance, and production readiness. 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. Each topic is connected to workplace responsibilities, common risks, quality controls, secure working practices, and measurable outcomes.
The content is independently written for SkillDynamo using the supplied source page as the title, update-date, duration, and topic-alignment reference. Learners finish with an applied scenario, documented validation evidence, and a prioritized improvement plan.
What You Will Learn
- Explain and apply azure data explorer architecture, clusters, databases, tables, ingestion, and data connections within Mastering Azure Data Explorer
- Configure, validate, and troubleshoot azure data explorer architecture, clusters, databases, tables, ingestion, and data connections using security, quality, governance, and operational controls
- Explain and apply kusto query language, filtering, aggregation, joins, time-series analysis, and visualization within Mastering Azure Data Explorer
- Configure, validate, and troubleshoot kusto query language, filtering, aggregation, joins, time-series analysis, and visualization using security, quality, governance, and operational controls
- Explain and apply performance optimization, security, rbac, data retention, policies, and governance within Mastering Azure Data Explorer
- Configure, validate, and troubleshoot performance optimization, security, rbac, data retention, policies, and governance using security, quality, governance, and operational controls
- Explain and apply dashboards, monitoring, troubleshooting, automation, cost control, and production validation within Mastering Azure Data Explorer
- Configure, validate, and troubleshoot dashboards, monitoring, troubleshooting, automation, cost control, and production validation using security, quality, governance, and operational controls
SkillDynamo Training Approach
SkillDynamo delivers this Mastering Azure Data Explorer course through instructor-led 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, documentation, and communication so the skills transfer confidently into real workplace situations.
Curriculum
- 1 Section
- 4 Lessons
- 24 Hours
- Course Curriculum4 Items
- 1.1Mastering Azure Data Explorer — Lesson 1: Azure Data Explorer Architecture, Clusters, Databases, Tables, Ingestion, and Data Connections360 Minutes
- 1.2Mastering Azure Data Explorer — Lesson 2: Kusto Query Language, Filtering, Aggregation, Joins, Time-Series Analysis, and Visualization360 Minutes
- 1.3Mastering Azure Data Explorer — Lesson 3: Performance Optimization, Security, RBAC, Data Retention, Policies, and Governance360 Minutes
- 1.4Mastering Azure Data Explorer — Lesson 4: Dashboards, Monitoring, Troubleshooting, Automation, Cost Control, and Production Validation360 Minutes
SkillDynamo Expert Team
Instructor-led delivery focused on Mastering Azure Data Explorer with practical demonstrations, guided implementation, scenario analysis, validation, troubleshooting, and role-relevant improvement planning.
- Structured explanations and course-specific demonstrations
- Hands-on exercises, solution reviews, and evidence-based validation
- Security, governance, troubleshooting, and workplace transfer guidance
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