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Explore SQL Server 2022 capabilities

Descubre las capacidades integrales de SQL Server 2022 con nuestro curso de formación de seis módulos. Cada módulo está diseñado para mejorar tu comprensión de los últimos avances de SQL Server, empoderándote para maximizar sus características para la gestión de datos y el rendimiento de aplicaciones. Módulo 1: Aprende sobre las nuevas caracterí.
via Microsoft Learn

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Resumen

Discover the comprehensive capabilities of SQL Server 2022 with our six-module training course. Each module is designed to enhance your understanding of SQL Server's latest advancements, empowering you to maximize its features for data management and application performance.

  • Module 1:

    Learn about SQL Server 2022's new cloud connected features and core engine capabilities, including security enhancements and connections to Azure and data lakes.

  • Module 2:

    Explore the hybrid data platform capabilities of SQL Server 2022, including disaster recovery best practices with Azure SQL Managed Instance, the functions of Azure Arc-enabled SQL Server, and near real-time analytics with Azure Synapse Link.

  • Module 3:

    Dive into the built-in query intelligence enhancements of SQL Server 2022 to optimize query processing and performance.

  • Module 4:

    Discover new capabilities in security, scalability, and availability, learn about ledger tables for auditing, enhancements in memory management, and more.

  • Module 5:

    Get acquainted with data virtualization concepts and the benefits of PolyBase in SQL Server 2022, including how to configure and use PolyBase for accessing external data.

  • Module 6:

    Understand the new T-SQL features introduced in SQL Server 2022 that enhance database performance, control, and maintainability.

Offered by Microsoft Learn, this detailed training ensures that you are well-equipped to leverage the powerful tools and capabilities of SQL Server 2022, meeting the evolving needs of modern database administrators and developers.

Perfect for those aiming to upgrade their data estate and accelerate application performance efficiently.


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