About this course
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.
Audience Profile
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.
At Course Completion
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
Course 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
Lesson
- 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.
Lesson
- 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 resources using manual methods
- Recommend an appropriate database 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.
Lesson
- 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.
Lesson
- 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 DBA’s 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.
Lesson
- 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.
Lesson
- 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
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
אנו חיים בעידן של מידע (DATA), ומי שיודע לאסוף את המידע ולנתח אותו יכול להפיק מכך ערך רב.
לכל חברה יש את הדאטה שלה, הנובע מתוך הפעילות שלה ו/או רלוונטי עבורה אך מגיע ממקורות חיצוניים. ולכן ישנו ביקוש רב לאנשי DATA היודעים לעבוד עם מערכות Data Platform.
היתרונות של Data Platform
ל-Data Platform יתרונות רבים הכוללים:
ניהול משופר של מידע – המערכת מאפשרת לנהל כמויות של מידע בצורה מרוכזת, ומעניקה שליטה על המידע, איכות ועקביות המאפשרים לארגון לעשות שימוש טוב יותר בנכסי המידע.
שיפור קבלת ההחלטות – שילוב הכלים האנליטיים והפקת דוחות מאפשר לארגון לקבל החלטות המבוססות על מידע. כך הארגון יכול להגיב מהר יותר לשינויים בשוק והצרכים של הלקוחות.
שיפור היעילות – ארגונים משקיעים משאבים רבים בהתמודדות עם המידע. Data Platform מאפשרת לייעל את התהליך ולהישען על אוטומציה. זה חוסך בזמן עבודה ואף מקטין טעויות.
מידע בזמן אמת – היכולת לעבד מידע ולנתח אותו בזמן אמת מעניקה לארגון יתרון עצום, ומאפשרת להגיב ולפעול לפני המתחרים.
גמישות – לכל ארגון צרכים אחרים ושונים. ואחד היתרונות של המערכת הוא הגמישות הגדולה. Data Platform מעניקה כלים רבים, היכולים להתאים למגוון של צרכים.
סוגי Data Platform
ניתן לסווג את פלטפורמות הדאטה לכמה סוגים :
מחסני נתונים (Data warehouses) – מערכות שעיקר יעודן הוא אחסון נתונים מובנים בפורמט מאורגן המאפשר שאילתות מהירות.
אגמי נתונים (Data lakes) – פלטפורמות המאפשרות לאחסן נתונים גולמיים, מובנים או לא מובנים. אלו מתאימים עבור למידת מכונה.
פלטפורמות ענן (Cloud-based data platforms) – פלטפורמות היושבות על ענן, וכך יכולות להעניק לארגון מדרגיות (scalability), גמישות, יעילות ועלות משתלמת. למשל שירותי Microsoft Azure הם דוגמה לפלטפורמת דאטה בענן.
מערכות היברידיות (Hybrid data platforms) – פלטפורמות דאטה המשלבות סביבה מקומית סביבת הענן. בדרך כלל מערכות שכאלו נדרשות כאשר ישנן דרישות רגולטוריות לגבי המידע.
מערכות בזמן אמת – מערכות המעבדות מידע בזמן אמת ומגיבות. למשל בנקים וחברות אשראי זקוקות למערכות שכאלו על מנת למנוע הונאות ולאפשר פעולות בנקאיות.
אחסון ועיבוד מידע ב-Data Platform
אחסון ועיבוד מידע הוא עולם ומלואו של כלים העונים על צרכים שונים של הארגון והם כוללים: שליטה וניהול המידע, איכות המידע, אבטחה ופרטיות, המחשה, שיתוף ואוטומציה.
למשל שליטה על מחזור החיים של המידע עד למחיקתו. כלים לזיהוי טעויות ואבטחת דיוק במידע, כלים המאפשרים להמחיש את התובנות של המידע ועוד.
שאלות על Data Platform
מה זה Data Platform?
Data Platform היא מערכת מאוחדת המאפשרת לטפל ולנתח בצורה יעילה כמויות נתונים גדולים. זוהי מערכת רב רכיבית המאפשרת לטיפל בנתונים מובנים ולא מובנים, ולהפוך את המידע לנגיש עבור אפליקציות שונות.
איך לבחור קורס Data Platform?
מומלץ לבחור קורס המותאם אישית לצרכים הארגונים, ומועבר על ידי מרצים בעלי ניסיון מעשי בתחום.
