This module introduces methods for deploying data platform resources in Azure SQL. You will learn about options for both upgrading and migrating existing SQL databases to Azure. You will learn how to set up Azure resources to host SQL Server on a Virtual Machine, a SQL Managed Instance, and SQL Database. You will learn how to determine which options are best based on specific requirements including the High Availability and Disaster Recovery (HADR) needs. They will learn to calculate resource requirements and understand hybrid approaches. After completing this module, students will be able to: 1) Explore the basics of SQL Server in an Infrastructure as a Service (IaaS) offering 2) Understand PaaS provisioning and deployment options 3) Evaluate migration scenarios to SQL Managed Instance and SQL Database 4) Evaluate and implement a strategy for moving a database to Azure

This module explores the practices of securing your SQL Server Database as well as an Azure SQL database. This includes a review of the various SQL Server-based options as well as the various Azure options for securing Azure SQL Database. Students will lean why security is crucial when working with databases, and explain authentication options for Azure SQL Database. After completing this module, students will be able to: 1) Understand the differences between Windows, SQL Server and Azure Active Directory Authentication 2) Describe and configure both data-at-rest encryption solutions as well as data-in-transit encryption 3) Implement a data sensitivity solution

This module will teach you about resource optimization for your databases created using either IaaS or PaaS services. The module also covers monitoring server and hardware resources. It will familiarize you with the various tools available for monitoring performance and establishing a baseline. You will learn how to interpret performance metrics for the most critical resources. You will also learn how to troubleshoot database performance using Azure SQL Insights. After completing this module, students will be able to: 1) Monitor activity and compare to a baseline 2) Identify major causes of performance problems 3) Configure resources for optimal performance 4) Configure a user database for optimal performance

Query execution plans are potentially the most important aspect of database performance. Improving bad plans is certainly an area where a small amount of effort can bring huge improvements. While hardware issues can limit query performance, improving hardware usually yields performance improvements in the 10-20% range, at most. More commonly database administrators encounter queries that are not optimized, have stale or missing statistics, have missing indexes, or poor database design choices that lead to the database engine doing more work than is necessary to return results for a given query. Improving the plans can sometimes yield performance improvements in the 100-200% range or even more, meaning that after improving a plan with better indexes or statistics, a query could run twice or three times as fast! This module provides details on how to analyze individual query performance and determine where improvements can be made. After completing this module, students will be able to: 1) Analyze query plans and identify problem areas 2) Evaluate potential query improvements using Query Store 3) Review table and index design 4) Determine whether query or design changes have had a positive effect

A common goal for database administrators in many environments is to automate as many of their repetitive tasks. This can be as simple as using scripting to automate a backup process, and as complex as building a fully automated alerting system. This module provides details of automating tasks to simplify the DBA’s job. Methods include scheduling tasks for regular maintenance jobs, as well as how to use elastic jobs and Azure Automation runbooks. After completing this module, students will be able to: 1) Deploy resources using automated deployment scripts 2) Create scheduled tasks 3) Create notifications and alerts 4) Configure automation for PaaS services

Data must be available when the business needs it. That means the solutions hosting the data must be designed with availability and recoverability in mind. Suppose you work for a company that sells widgets both in stores and online. Your main application uses a highly transactional database for orders. What would happen if the server or platform hosting the transactional database had a problem that made it unavailable or inaccessible for some reason? What impact would it have on the business? If the right solution is put in place, the database would come online in a reasonable timeframe with minimal effort, thus allowing business to continue with little-to-no impact. This module and its associated lab cover configuring, testing, and managing a solution for high availability and disaster recovery (HADR) in Azure, for both Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) deployments. This module will not only cover basic requirements, but also the various options available to achieve HADR. After completing this module, students will be able to: 1) The difference between recovery time and recovery point objectives 2) The available HADR options for both IaaS and PaaS 3) The considerations for planning and configuring HADR solutions including how backup and restore fi 4) The factors that comprise a HADR strategy 5) How to configure a high availability solution via a hands-on lab