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Course Outline
Introduction to Azure Database Services
- Overview of the Azure SQL family, including SQL Database, Managed Instance, and SQL Server on VM.
- Understanding service tiers and associated pricing models.
- Key use cases for deploying cloud-hosted relational databases.
Provisioning and Configuration
- Creating Azure SQL resources using the portal and resource templates.
- Configuring elastic pools and setting up managed instances.
- Managing firewall rules and network connectivity.
Backup, Restore, and High Availability
- Understanding native backup and restore features.
- Enabling geo-replication and establishing failover groups.
- Implementing high availability and disaster recovery strategies.
Monitoring and Performance Tuning
- Leveraging Query Performance Insight and Extended Events for analysis.
- Optimizing indexes and reviewing query execution plans.
- Analyzing telemetry, alerts, and resource consumption patterns.
Security and Compliance
- Implementing authentication methods via SQL and Azure AD.
- Managing encryption, auditing logs, and threat detection capabilities.
- Securing data access and enforcing role-based security models.
Automation and Maintenance
- Automating routine operational tasks using Azure Automation and Runbooks.
- Scheduling jobs efficiently with the Elastic Jobs Agent.
- Handling database updates, patching, and SLA considerations.
Summary and Next Steps
- Reviewing key takeaways and industry best practices.
- Exploring relevant certification options, such as DP-300.
- Identifying resources for continuous professional learning.
Requirements
- Experience with relational database concepts and SQL syntax.
- Familiarity with fundamental database administration principles.
- A basic understanding of cloud computing principles and the Azure platform.
Target Audience
- Database administrators responsible for managing cloud-hosted relational databases.
- IT professionals in the process of migrating on-premise databases to Azure.
- Cloud engineers and architects involved in supporting database operations.
28 Hours