Working with Relational Databases in Azure

  Working with Relational Databases in Azure

Working with relational databases in Azure involves utilizing various Azure services tailored for managing, storing, and querying structured data. Here's an overview of how to work with relational databases in Azure

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Azure SQL Database: Azure SQL Database is a fully managed relational database service based on the latest stable version of the Microsoft SQL Server database engine. It offers features such as automatic backups, high availability, and scalability without the need for managing the underlying infrastructure. You can create databases, define schemas, and execute SQL queries just like you would with an on-premises SQL Server.     - Microsoft Power Apps Online Training

Azure SQL Managed Instance: Azure SQL Managed Instance is a fully managed instance of SQL Server running in Azure, providing compatibility with on-premises SQL Server instances. It offers features such as instance-level security, full database compatibility, and easy migration from on-premises SQL Server environments.

Azure Database for PostgreSQL: Azure Database for PostgreSQL is a managed database service for PostgreSQL, an open-source relational database. It provides features like high availability, automated backups, and security enhancements while allowing you to focus on application development rather than database management.                                                           - Power Apps Online Training

Azure Database for MySQL: Azure Database for MySQL is a fully managed MySQL database service that offers features similar to Azure Database for PostgreSQL. It's designed to provide high availability, scalability, and security for MySQL-based applications.

Azure Synapse Analytics (formerly SQL Data Warehouse): Azure Synapse Analytics is a cloud-based analytics service that combines enterprise data warehousing and Big Data analytics. It allows you to store and analyze large volumes of relational and non-relational data, providing capabilities for data integration, data warehousing, and real-time analytics.

Azure Data Studio: Azure Data Studio is a cross-platform database tool for managing and querying relational and non-relational databases in Azure. It provides an integrated development environment (IDE) for writing SQL queries, managing database objects, and performing administrative tasks.

Azure Data Factory: Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and orchestrate data pipelines for moving and transforming data between different sources and destinations, including relational databases in Azure.                     - Power Apps Training Hyderabad

Azure Backup: Azure Backup is a cloud-based backup service that provides automated backups and point-in-time recovery for relational databases in Azure, ensuring data protection and compliance with backup policies.

Azure Security Center: Azure Security Center provides advanced threat protection and security management for Azure resources, including relational databases. It helps you identify and remediate security vulnerabilities, implement access controls, and monitor database activity for suspicious behavior.

By leveraging these Azure services effectively, you can build and manage relational databases in Azure to meet your organization's data storage, processing, and analysis needs while benefiting from the scalability, availability, and security of the Azure cloud platform.

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