This course provides students with the knowledge and skills to create a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.
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Course Outline
1. Deploy IaaS solutions with Azure SQL
• Explain IaaS options to deploy SQL Server in Azure
• Understand hybrid scenarios
• Explore performance and security
• Explain high availability and disaster recovery options
2. Deploy PaaS solutions with Azure SQL
• Explain PaaS options for deploying SQL Server in Azure
• Explore single SQL database
• Deploy SQL database elastic pool
• Understand SQL database hyperscale
• Examine SQL managed instance
3. Migrate SQL Server workloads to Azure SQL Database
• Choose the right Azure SQL Database feature
• Use Azure Database Migration Service to migrate to Azure SQL Database
• Migrate to Azure SQL Database using BACPAC
• Use an online method to migrate to Azure SQL Database
• Move data to Azure SQL Database
4. Migrate SQL Server workloads to Azure SQL Managed Instance
• Evaluate migration scenarios
• Migrate using Azure Arc
• Use Log Replay Service (LRS) to migrate
• Migrate using Managed Instance link
• Move data to SQL Managed Instance
5. Configure database authentication and authorization
• Describe authentication and identities
• Describe Security Principals
• Describe database and object permissions
• Identify authentication and authorization failures
6. Protect data in-transit and at rest
• Explore Transparent Data Encryption
• Configure server and database firewall rules
• Explain object encryption and secure enclaves
• Enable encrypted connections
• Describe SQL injection
• Understand Azure Key Vault
7. Implement compliance controls for sensitive data
• Explore data classification
• Explore server and database audit
• Implement Dynamic Data Masking
• Implement Row Level security
• Understand Microsoft Defender for SQL
• Explore Ledger
• Implement Microsoft Purview
8. Describe performance monitoring
• Describe performance monitoring tools
• Describe critical performance metrics
• Establish baseline metrics
• Explore extended events
• Describe database watcher (preview)
• Explore Query Performance Insight
9. Configure SQL Server resources for optimal performance
• Explain how to optimize Azure storage for SQL Server virtual machines
• Describe virtual machine resizing
• Optimize database storage
• Control SQL Server resources
10. Configure databases for optimal performance
• Explore database maintenance checks
• Describe database scoped configuration options
• Describe automatic tuning
• Describe intelligent query processing
11. Explore query performance optimization
• Understand query plans
• Explain estimated and actual query plans
• Describe dynamic management views and functions
• Explore Query Store
• Identify problematic query plans
• Describe blocking and locking
12. Explore performance-based database design
• Describe normalization
• Choose appropriate data types
• Design indexes
13. Evaluate performance improvements
• Describe wait statistics
• Tune and maintain indexes
• Understand query hints
• Explore performance scenarios
14. Automate database deployment
• Describe deployment models in Azure
• Automate deployment by using Azure Resource Manager templates and Bicep
• Automate deployment by using PowerShell
• Automate deployment by using Azure CLI
15. Create and manage SQL Agent jobs
• Create a SQL Server maintenance plan
• Describe task status notifications
16. Manage Azure PaaS tasks using automation
• Explore Elastic jobs
• Understand Azure Automation
• Build an automation runbook
• Automate database workflows by using Logic Apps
• Monitor automated tasks
17. Describe high availability and disaster recovery strategies
• Describe recovery time objective and recovery point objective
• Explore high availability and disaster recovery options
• Describe Azure high availability and disaster recovery features for Azure Virtual Machines
• Describe high availability and disaster recovery for PaaS deployments
• Explore high availability and disaster recovery solution for IaaS
• Describe hybrid solutions
18. Explore IaaS and PaaS solutions for high availability and disaster recovery
• Describe failover clusters in Windows Server
• Configure Always-on availability groups
• Describe active geo-replication for Azure SQL Database
• Explore auto-failover groups for Azure SQL Database and Azure SQL Managed Instance
• Monitor availability
19. Back up and restore databases
• Back up and restore SQL Server running on Azure virtual machines
• Back up a SQL Server virtual machine
• Back up and restore a database for SQL Database and SQL Managed Instance
Course Details
• Familiarity with on-premises virtualization technologies, including: VMs, virtual networking, and virtual hard disks.
• Familiarity with network configuration, including TCP/IP, Domain Name System (DNS), virtual private networks (VPNs), firewalls, and encryption technologies.
• Ability to create an on-premises SQL Server database, including the configuration of data files and log files.
• Ability to write code in the SQL language, particularly the Microsoft T-SQL dialect, at a basic level.
• Ability to use tools for running queries against a Microsoft SQL database, either on-premises or cloud-based.
• Experience creating and configuring resources using the Azure portal.
• Understanding of why security is a crucial part of database system planning.
• Experience using Windows Performance Monitor to monitor system components such as CPU, I/O, network traffic.
• Knowledge of purpose of SQL Server system databases: master, tempdb, msdb.
• Basic understanding of SQL Server file storage, database files for data and log, and the purpose and management of the transaction log.
• Basic understanding of structure and usage of SQL Server indexes and of relational database concepts.
The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications.
For online (live) format
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