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Copy file name to clipboardExpand all lines: learn-pr/sqlserver/introduction-to-sql-server-2022/3-cloud-connected.yml
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unitType: learning-content
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title: Build a hybrid data platform with SQL Server 2022
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description: "Learn how to build a hybrid data platform with SQL Server 2022 and Azure through managed disaster recovery, near real-time analytics, and advanced security."
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ms.date: 10/16/2023
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author: rgward
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ms.author: bobward
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ms.date: 04/15/2025
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author: vanto
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ms.author: vanto
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ms.reviewer: vanto
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ms.topic: unit
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durationInMinutes: 10
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explanation: "The self-hosted integrated runtime connects SQL Server to Azure for Azure Synapse Link, but isn't part of SQL Server setup."
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- content: "Azure extension for SQL Server"
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isCorrect: true
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explanation: "The Azure extension for SQL Server can be configured a part of SQL Server 2022 setup and connects SQL Server to Azure for Purview, Azure Active Directory, Microsoft Defender, and pay-as-you-go licensing."
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explanation: "The Azure extension for SQL Server can be configured a part of SQL Server 2022 setup and connects SQL Server to Azure for Purview, Microsoft Entra ID, Microsoft Defender, and pay-as-you-go licensing."
Copy file name to clipboardExpand all lines: learn-pr/sqlserver/introduction-to-sql-server-2022/5-security-scalability-availability.yml
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unitType: learning-content
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title: Power your application with an industry proven database engine with security, scalability, and availability
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description: "Learn how to protect your data, make your application more scalable, and ensure your SQL Server is highly available with SQL Server 2022"
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ms.date: 10/16/2023
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author: rgward
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ms.author: bobward
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ms.date: 04/15/2025
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author: vanto
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ms.author: vanto
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ms.reviewer: vanto
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ms.topic: unit
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durationInMinutes: 10
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explanation: "Ledger for SQL Server doesn't encrypt data in user tables, and there isn't a database option called LEDGER. Always Encrypted is a feature to encrypt data end-to-end."
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- content: "Built-in auditing and cryptographic hashes of transactions against a ledger table."
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isCorrect: true
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explanation: "Ledger for SQL Server uses auditing and crypto hashes to provide tamper evidence proof for tables declared as ledger tables."
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explanation: "Ledger for SQL Server uses auditing and crypto hashes to provide tamper-evident proof for tables declared as ledger tables."
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- content: "Contained availability groups replicate what new types of data in SQL Server 2022 for a normal availability group?"
Copy file name to clipboardExpand all lines: learn-pr/sqlserver/introduction-to-sql-server-2022/6-data-virtualization-object-storage.yml
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unitType: learning-content
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title: Use SQL Server 2022 as a data hub querying files and backup/restore to object storage providers
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description: "Learn how to use T-SQL to access files types like parquet and delta stored in Azure Storage of S3 compatible storage. In addition, learn how to back up and restore SQL Server databases with S3 compatible storage."
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ms.date: 10/16/2023
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durationInMinutes: 10
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explanation: "SQL Server 2022 provides built-in REST API support for S3 compatible object storage providers"
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- content: "Oracle data sources using ODBC"
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isCorrect: false
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explanation: "SQL Server 2022 does support Oracle data sources, but uses ODBC with Polybase services and not the REST API."
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explanation: "SQL Server 2022 does support Oracle data sources, but uses Open Database Connectivity (ODBC) with Polybase services and not the REST API."
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- content: "Hadoop data sources using Java"
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isCorrect: false
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explanation: "Polybase support for Hadoop using Java has been removed in SQL Server 2022."
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explanation: "Polybase support for Hadoop using Java is removed in SQL Server 2022."
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- content: "SQL Server 2022 data virtualization now supports which file format popular for data lakes?"
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choices:
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- content: "JSON"
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explanation: "Parquet files are natively supported in SQL Server 2022 without the need to create a file format definition."
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- content: "HDFS"
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isCorrect: false
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explanation: "HDFS is a file system and not a file or data format."
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explanation: "Hadoop Distributed File System (HDFS) is a file system and not a file or data format."
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 wasn't 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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SQL Server 2022 offers similar deployment, edition, and licensing options as with previous releases of SQL Server. There are some differences, which you'll learn about in this module.
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While SQL Server 2022 offers deployment, edition, and licensing options that are similar to previous releases of SQL Server, there are some differences that you learn about in this module.
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## Deployment options for SQL Server 2022
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Just like in SQL Server 2017 and SQL Server 2019, SQL Server 2022 can be deployed on Windows and Linux operating systems on computers, virtual machines, and in cloud virtual machine platforms. SQL Server 2022 can also be deployed using containers and on Kubernetes platforms.
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SQL Server 2022 is supported on Windows 10, Windows 11, and Windows Server. SQL Server 2022 for Linux is supported on Red Hat Enterprise Linux 8.0 - 8.5 Server, SUSE Enterprise Linux Server v15, and Ubuntu 20.04 LTS.
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You can deploy SQL Server using the same methods as in previous versions, such as the Windows graphical setup wizard, command line options, Linux package managers, and container runtime engines, such as Docker. SQL Server 2022 is also available through Azure Virtual Machine marketplace images.
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You can deploy SQL Server using the same methods as in previous versions. Including the Windows graphical setup wizard, command line options, Linux package managers, and container runtime engines, such as Docker. SQL Server 2022 is also available through Azure Virtual Machine marketplace images.
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## Editions for SQL Server 2022
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-**SQL Server Enterprise** edition includes all features and capabilities of SQL Server with unlimited access to resources, such as CPU and memory.
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For more information, and a list of all the capabilities for each edition, see our documentation, [Editions and supported features of SQL Server](https://aka.ms/sql2022editions).
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For more information, and a list of all the capabilities for each edition, see [Editions and supported features of SQL Server 2022](https://aka.ms/sql2022editions).
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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 future units, you'll learn about all the new features and capabilities in SQL Server 2022 compared to previous releases:
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In future units, you learn about all the new features and capabilities in SQL Server 2022 compared to previous releases:
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- Cloud connected
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- Built-in query intelligence
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- Core engine
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- Data virtualization
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- Transact-SQL (T-SQL) enhancements
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Some of the differences for features that have been removed, deprecated, or enhanced from SQL Server in SQL Server 2022 from a perspective of deployment are listed below.
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> [!TIP]
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> Stay up to date with all the latest release notes at [SQL Server 2022 release notes](https://aka.ms/sqlserver2022releasenotes).
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### Features removed or deprecated in SQL Server 2022
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The following features have been removed from SQL Server 2022 that were available in previous releases:
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The following features that were available in previous releases were removed from SQL Server 2022:
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- R, Python, and Java runtimes - R, Python, and Java runtimes are no longer included as part of the setup for SQL Server 2022. The Machine Learning Services feature is still supported, but you'll need to add your own packages that include runtimes you need.
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- R, Python, and Java runtimes - R, Python, and Java runtimes are no longer included as part of the setup for SQL Server 2022. The Machine Learning Services feature is still supported, but you must add your own packages that include the runtimes you need.
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- Polybase Hadoop Connectivity with Java - The Polybase feature with Hadoop connectivity is removed from SQL Server 2022. You can still use Polybase services with ODBC drivers or new REST API based connectors for Azure Blob storage, Azure Data Lake Storage, or S3 compatible object storage.
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- Polybase scale out groups - The Polybase scale out group feature has been removed from SQL Server 2022. Queries using external tables or OPENROWSET for data virtualization can take advantage of scale-up processing built into SQL Server.
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- Polybase scale out groups - The Polybase scale out group feature is removed from SQL Server 2022. Queries using external tables or OPENROWSET for data virtualization can take advantage of scale-up processing built into SQL Server.
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- Machine Learning Server - Machine Learning Server was retired in July of 2022. Therefore, the Machine Learning Server feature has been removed from the SQL Server setup.
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- Machine Learning Server - The Machine Learning Server feature was retired in July of 2022 and is removed from the SQL Server setup.
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- Distributed Replay - Distributed Replay is no longer available to configure with the setup for SQL Server 2022 on Windows.
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-The Distributed Replay feature - Distributed Replay is no longer available to configure with the setup for SQL Server 2022 on Windows.
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- Stretch Database - Stretch Database is deprecated in SQL Server 2022. This feature will be removed in a future version of Microsoft SQL Server. Avoid using this feature in new development work, and plan to modify applications that currently use this feature.
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