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SQL Server 2022 is Microsoft's latest major release of the SQL Server product. SQL Server 2022 is a hybrid data platform powered by innovations in security, performance, availability, and data virtualization.
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SQL Server 2022 is designed to help organizations looking to modernize their data estate from older versions of SQL Server. SQL Server 2022 provides new cloud-connected capabilities for users looking to enable hybrid data scenarios.
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SQL Server 2022 is designed to help organizations looking to modernize their data estate from older versions of SQL Server. This SQL Server release provides new cloud-connected capabilities for users looking to enable hybrid data scenarios.
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Organizations can accelerate performance for their applications with no code changes, protect data integrity with blockchain capabilities, and achieve increased scalability and availability for critical data.
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:::image type="content" source="../media/sql-server-2022-capabilities.png" alt-text="Diagram showing SQL Server 2022 capabilities.":::
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Some of the capabilities we'll be going over in this module:
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Here are some of the capabilities you learn about in this module:
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-**Deployment options and differences in SQL Server 2022**: You'll learn the various methods to deploy SQL Server 2022 and some of the differences in features and deployment from previous releases of SQL Server.
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-**Cloud connected scenarios**: You'll learn scenarios for new hybrid capabilities for SQL Server 2022, and how you can connect to Azure for managed disaster recovery, near real-time analytics, and security access and assessments.
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-**Built-in query intelligence**: You'll learn new built-in engine capabilities that can help you gain performance with no code changes, and gain deep insights into query performance.
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-**Security, scalability, and availability**: You'll learn new core database engine capabilities across security, scalability, and availability.
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-**Data virtualization and object storage**: You'll learn how to access data lakes using built-in connectors across REST APIs for Azure and S3 compatible object storage providers. You'll also learn how to use S3 compatible object storage providers for backup and restore of SQL Server databases.
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-**Language enhancements for developers**: Finally, you'll learn new T-SQL language capabilities to help developers build new application scenarios to leverage SQL Server.
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-**Deployment options and differences in SQL Server 2022**: You learn the various methods to deploy SQL Server 2022 and some of the differences in features and deployment from previous releases of SQL Server.
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-**Cloud connected scenarios**: You learn scenarios for new hybrid capabilities for SQL Server 2022, and how you can connect to Azure for managed disaster recovery, near real-time analytics, and security access and assessments.
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-**Built-in query intelligence**: You learn new built-in engine capabilities that can help you gain performance with no code changes, and gain deep insights into query performance.
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-**Security, scalability, and availability**: You learn new core database engine capabilities across security, scalability, and availability.
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-**Data virtualization and object storage**: You learn how to access data lakes using built-in connectors across REST APIs for Azure and S3 compatible object storage providers. You also learn how to use S3 compatible object storage providers for backup and restore of SQL Server databases.
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-**Language enhancements for developers**: Finally, you learn new T-SQL language capabilities to help developers build new application scenarios that use SQL Server.
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## Learning objectives
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In this module, you'll be able to:
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By the end of this module, you're able to:
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- Describe the innovations introduced in SQL Server 2022
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-Be able to determine if SQL Server 2022 can help modernize your data estate, while reducing the cost of ownership, and accelerate the performance of your applications
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-Be able to leverage new security capabilities in SQL Server 2022 to protect your data, and use cryptographic attestations that your data hasn't been tampered with
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- Connect your data to Azure and data lakes
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- Describe the innovations introduced in SQL Server 2022.
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-Determine if SQL Server 2022 can help modernize your data estate, while reducing the cost of ownership, and accelerating the performance of your applications.
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-Apply new security capabilities in SQL Server 2022 to protect your data, and use cryptographic attestations that your data hasn't been tampered with.
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- Connect your data to Azure and data lakes.
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## Prerequisites
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- Basic working knowledge of SQL Server, including deployment, security, query processing, and high availability
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- Fundamental knowledge of the T-SQL language
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- Basic knowledge of Azure concepts, including subscriptions, resource groups, Infrastructure-as-a-Service, and Platform-as-a-Service
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- Basic working knowledge of SQL Server, including deployment, security, query processing, and high availability.
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- Fundamental knowledge of the T-SQL language.
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- Basic knowledge of Azure concepts, including subscriptions, resource groups, Infrastructure-as-a-Service, and Platform-as-a-Service.
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## Licensing for SQL Server 2022
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SQL Server 2022 paid editions are licensed on individual instances using models like per core, or with contract agreements such as Software Assurance (SA). SQL Server 2022 offers a new licensing model called Pay-as-you-go (PAYG). Learn more about all the licensing options for SQL Server 2022 at [SQL Server licensing](https://aka.ms/sqlserver2022licensing).
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SQL Server 2022 paid editions are licensed on individual instances using models like per core, or with contract agreements such as Software Assurance (SA). SQL Server 2022 offers a new licensing model called pay-as-you-go. Learn more about all the licensing options for SQL Server 2022 at [SQL Server licensing](https://aka.ms/sqlserver2022licensing).
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## Feature differences for SQL Server 2022 from previous releases
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In SQL Server 2022 with the Query Store enabled, the optimizer will evaluate highly repetitive queries that match patterns for CE model scenarios where the model may be making an incorrect assumption. The optimizer will then attempt to test and verify whether a query hint could be used to allow the query to perform faster. Upon verification of faster performance, a query hint will be persisted in the Query Store to be used for future query executions. You can see any applied query hints for CE feedback in the **sys.query_store_query_hints** catalog view and CE feedback details in the **sys.query_store_plan_feedback** catalog view. CE feedback will not be used if the legacy CE model has been enabled, if a query plan is forced in the query store, or if a query has existing query store hints.
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For more information, see [Cardinality Estimation](https://aka.ms/cefeedback).
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For more information, see [Cardinality estimation (CE) feedback](/sql/relational-databases/performance/intelligent-query-processing-cardinality-estimation-feedback).
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