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Administering Relational Databases on Microsoft Azure

  • Tuition USD $2,336 Save $260
  • Reviews star_rate star_rate star_rate star_rate star_half 1527 Ratings
  • Course Code DP-300T00
  • Duration 4 days
  • Available Formats Virtual, Classroom

This course provides students with the knowledge and skills to administer 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.

Skills Gained

After completing this course, students will be able to:

  • Plan, deploy and configure Azure SQL offerings
  • Monitor database performance and tune a database and queries for optimum performance
  • Plan and configure a High Availability Solution

Who Can Benefit

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.

Prerequisites

Successful Azure Database Administrators start this role with professional experience in database management and technical knowledge of cloud technologies.
Specifically:

  • Working with, maintaining, and developing with SQL Server
  • Experience with Azure, such as deploying and managing resources
At a minimum, you should know the information in the following online training before attending the course:
  • Introduction to Azure SQL
  • Azure Fundamentals
  • Azure Data Fundamentals

Course Details

Outline


Module 1: The Role of the Azure Database Administrator
This module explores the role of a database administrator in the world of Azure. It also provides some foundational information relevant to the overall content. This includes a review of the various SQL Server-based options (SQL Server in a VM, Managed Instances, and Azure SQL Database.) Students will learn why compatibility level is a crucial concept when working with SQL databases in Azure. Students are also introduced to other database platforms available on Azure in addition to those based on SQL Server, in particular PostgreSQL and MySQL
Lessons

  • Azure Data Platform Roles
  • Azure Database Platforms and Options
  • SQL Server Compatibility Levels
  • Azure Preview Features

Lab : Using the Azure Portal and SQL Server Management Studio
  • Provision a SQL Server on an Azure Virtual Machine
  • Connect to SQL Server and Restore a Backup

After completing this module, students will:
  • Understand the role of Azure Database Administrator as it fits in with other data platform roles
  • Be able to describe the key differences between the SQL Server-based database op
  • Be able to describe the difference between versions and compatibility levels
  • Know how to enable and disable preview features

Module 2: Plan and Implement Data Platform Resources
This module introduces methods for deploying data platform resources in Azure. 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 Managed Instance, Azure SQL Database and either PostgreSQL or MySQL. 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 create templates for their deployments.
Lessons
  • Deploying SQL Server using IaaS
  • Deploying SQL Server using PaaS
  • Deploying Open Source Database Solutions on Azure

Lab : Deploying Azure SQL Database
  • Deploy a VM using an ARM template
  • Configure resources needed prior to creating a database
  • Deploy an Azure SQL Database
  • Register the Azure SQL Database instance in Azure Data Studio and validate connectivity
  • Deploy PostgreSQL or MySQL using a client tool to validate connectivity

After completing this module, students will:
  • Deploy resoureces using manual methods
  • Reconmmend an appropriate databvase offering based on requirements
  • Configure database resources
  • Evaluate and implement a strategy for moving a database to Azure

Module 3: Implement a Secure Environment
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 as well as the databases with reside within Azure SQL Database. . Students will lean why security is crucial when working with databases. . Students are also introduced to other database platforms available on Azure in addition to those based on SQL Server, in particular, Azure Database for MariaDB/MySQL/PostgreSQL
Lessons
  • Configure Database Authentication
  • Configure Database Authorization
  • Implement Security for Data at Rest
  • Implement Security for Data in Transit
  • Implement Compliance Controls for Sensitive Data

Lab : Implement a Secure Environment
  • Configure a server-based firewall rule using the Azure Portal
  • Authorize Access to Azure SQL Database with Azure Active Directory
  • Enable Advanced Data Security and Data Classification
  • Manage access to database objects

After completing this module, students will:
  • Understand the differences between Windows, SQL Server and Azure Active Directory Authentication
  • Describe and configure both data-at-rest encryption solutions as well as data-in-transit encryption
  • Implement a data sensitivity solution

Module 4: Monitor and Optimize Operational Resources
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 Database Intelligent Insights.
Lessons
  • Baselines and Performance Monitoring
  • Major Causes of Performance Issues
  • Configuring Resources for Optimal Performance
  • User Database Configuration
  • Performance-related Maintenance Tasks

Lab : Monitor and Optimize Resources
  • Isolate CPU Problems
  • Use Query Store observe blocking problems
  • Detect and correct fragmentation issues

After completing this module, students will:
  • Monitor activity and compare to a baseline
  • Define maintenance tasks related to performance
  • Identify major causes of performance problems
  • Configure resources for optimal performance
  • Configure a user database for optimal performance

Module 5: Optimize Query 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.
Lessons
  • Understanding SQL Server Query Plans
  • Explore Performance-based Database Design
  • Evaluate Performance Improvements

Lab : Query Performance Troubleshooting
  • Identify issues with database design AdventureWorks2017
  • Isolate problem areas in poorly performing queries in AdventureWorks2017
  • Use Query Store to detect and handle regression in AdventureWorks2017
  • Use query hints to impact performance in AdventureWorks2017

After completing this module, students will:
  • Analyze query plans and identify problem areas
  • Evaluate potential query improvements
  • Review table and index design
  • Determine whether query or design changes have had a positive effect

Module 6: Automation of Tasks
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 DBAs job. Methods include scheduling tasks for regular maintenance jobs, as well as multi-instance administration and configuration of notifications for task success or failure or non-completion.
Lessons
  • Setting up Automatic Deployment
  • Defining Scheduled Tasks
  • Configuring Extended Events
  • Managing Azure PaaS resources Using Automated Methods

Lab : Automating Tasks
  • Deploy an Azure template from a Quickstart template on GitHub
  • Configure notifications based on performance metrics
  • Deploy an Azure Automation Runbook (or elastic job) to rebuild indexes on an Azure SQL Database

After completing this module, students will:
  • Deploy resources using automated deployment scripts
  • Create scheduled tasks
  • Create notifications and alerts
  • Configure automation for PaaS services

Module 7: Plan and Implement a High Availability and Disaster Recovery Environment
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.
Lessons
  • High Availability and Disaster Recovery Strategies
  • IaaS Platform and Database Tools for HADR
  • PaaS Platform and Database Tools for HADR
  • Database Backup and Recovery

Lab : Plan and Implement a High Availability and Disaster Recovery Environment
  • Create an Always On Availability Group
  • Enable Geo-Replication for Azure SQL Database
  • Backup to URL and Restore from URL

After completing this module, students will understand:
  • The difference between recovery time and recovery point objectives
  • The available HADR options for both IaaS and PaaS
  • The considerations for planning and configuring HADR solutions including how backup and restore fi
  • The factors that comprise a HADR strategy
  • How to configure a high availability solution via a hands-on lab

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

The course material and instructor were very good. easy to follow, lab was setup nicely and was able to complete most of the lab material.
The Koretex App is absolute garbage and very cumbersome to use on a tablet/ipad. A PDF file would be 100 times better than that atrocious app.
As a recommendation this class should be 5 days instead of 4 as some chapters had to be rushed.

The instructor was proficient in his subject and overall, it was presented well

Well organized support staff. Second class that I have taken through Tech Data and found it more than a good use of my time.

Very clear and concise course. It was worth attending to me and provided useful information I will use going forward.

The training was very informative and the way the instructor has taken the course is awesome.

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