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SQL Server 2019

The SQL Server 2019 course and lab provide knowledge and skills required to plan, implement, manage, and secure SQL Server 2019. The lab provides a hands-on learning experience in a safe and online environment. The SQL Server course covers topics such as SQL Server 2019’s toolset, SQL Server management studio, Azure data studio, configuration manager, and more. This SQL training course also helps in understanding basic and advanced concepts associated with SQL Server Administration.
SQL Server 2019
Test Prep
100+ Pre Assessment Questions | 100+ Post Assessment Questions |
21+ LiveLab | 20+ Video tutorials | 01+ Hours

Why choose TOPTALENT?


Lessons 1:

  • Acknowledgments

Lessons 2:
Getting started with SQL Server tools

  • SQL Server setup
  • Tools and services installed with the SQL Server Database Engine
  • Performance and reliability monitoring tools
  • SQL Server Reporting Services
  • SQL Server Management Studio (SSMS)
  • Azure Data Studio
  • SQL Server Data Tools
  • A note on discontinued and deprecated features

Lessons 3:
Introducing database server components

  • Memory
  • Central Processing Unit
  • Storing your data
  • Connecting to SQL Server over the network
  • High availability concepts
  • Securing SQL Server
  • Understanding virtualization and containers

Lessons 4:
Designing and implementing an on-premises database infrastructure

  • Introduction to SQL Server database architecture
  • Data files and filegroups
  • Recording changes in the transaction log
  • Table partitioning
  • Compressing data
  • Managing the temporary database
  • Configuration settings
  • Container orchestration with Kubernetes

Lessons 5:
Installing and configuring SQL Server instances and features

  • What to do before installing SQL Server
  • Installing a new instance
  • Post-installation server configuration
  • Post-installation configuration of other features

Lessons 6:
Installing and configuring SQL Server on Linux

  • What is Linux?
  • Considerations for installing SQL Server on Linux
  • Installing SQL Server on Linux
  • Configuring SQL Server for Linux
  • Caveats of SQL Server on Linux

Lessons 7:
Provisioning and configuring SQL Server databases

  • Adding databases to a SQL Server instance
  • Moving and removing databases

Lessons 8:
Understanding table features

  • Reviewing table design
  • Special table types
  • Storing BLOBs
  • Table partitioning
  • Capturing modifications to data

Lessons 9:
Maintaining and monitoring SQL Server

  • Detecting, preventing, and responding to database corruption
  • Maintaining indexes and statistics
  • Managing database file sizes
  • Monitoring activity by using DMOs
  • Monitoring with the SQL Assessment API
  • Utilizing extended events
  • Capturing performance metrics with DMOs and Data Collectors
  • Protecting important workloads by using Resource Governor
  • Understanding the new servicing model

Lessons 10:
Automating SQL Server administration

  • Components of SQL Server automated administration
  • Maintaining SQL Server
  • Using SQL Server Maintenance Plans
  • Strategies for administering multiple SQL Servers
  • Using PowerShell to automate SQL Server administration

Lessons 11:
Developing, deploying, and managing data recovery

  • Preparing for data recovery
  • Understanding different types of backups
  • Understanding backup devices
  • Creating and verifying backups
  • Restoring a database
  • Defining a recovery strategy

Lessons 12:
Implementing high availability and disaster recovery

  • Overview of high availability and disaster recovery technologies in SQL Server
  • Configuring failover cluster instances
  • Designing availability groups solutions
  • Configuring availability groups in SQL Server on Linux
  • Administering availability groups

Lessons 13:
Administering security and permissions

  • Authentication modes
  • Security principals
  • Permissions
  • Common security administration tasks

Lessons 14:
Protecting data through encryption, privacy and auditing

  • Privacy in the modern era
  • Introducing security principles and protocols
  • Protecting the data platform
  • Auditing with SQL Server and Azure SQL Database
  • Securing Azure infrastructure as a service

Lessons 15:
Performance tuning SQL Server

  • Understanding isolation levels and concurrency
  • Understanding durability settings for performance
  • Understanding how SQL Server executes your query
  • Understanding advanced engine features for tuning queries

Lessons 16:
Understanding and designing indexes

  • Designing clustered indexes
  • Designing rowstore nonclustered indexes
  • Understanding columnstore indexes
  • Understanding indexing in memory-optimized tables
  • Understanding index statistics
  • Understanding other types of indexes

Lessons 17:
Designing and implementing hybrid and Azure database infrastructure

  • Cloud computing and Microsoft Azure
  • Cloud models and SQL Server
  • Cloud security
  • Other data services in Azure

Lessons 18:
Provisioning Azure SQL Database

  • Provisioning a logical SQL server
  • Provisioning a database in Azure SQL Database
  • Provisioning an elastic pool
  • Managing database space
  • Security in Azure SQL Database
  • Preparing Azure SQL Database for disaster recovery

Lessons 19:
Provisioning Azure SQL Database managed instance

  • What is a Managed Instance?
  • Creating a managed instance
  • Establishing a connection
  • Migrating data to managed instance
  • Deleting a managed instance
  • Network requirements for managed instances
  • Managed Instance administration features
  • Azure SQL Analytics
  • Security of Managed Instance
  • Data protection features

Lessons 20:
Migrating to SQL Server solutions in Azure

  • Migration Services Options
  • Common causes for migration failures
  • Integration Runtime options for Migration Services
  • Best Practices for security and resiliency during migration

Lessons 21:
Leveraging big data and machine learning

  • A big data primer
  • Introducing Big Data Clusters
  • Deploying Big Data Clusters
  • Benefits of PolyBase
  • Operationalizing analytics with Machine Learning Server
  • Launchpad service