Microsoft SQL Server

Microsoft SQL Server is a relational database management system (RDBMS) developed by Microsoft, designed to store, retrieve, and manage structured data efficiently. It supports a wide range of data processing, business intelligence, and analytics applications, offering features like transaction processing, data warehousing, and integration with other Microsoft products. It runs primarily on Windows but also has Linux and containerized versions.

Also known as: SQL Server, MSSQL, MS SQL, SQLServer, Microsoft SQL

🧊Why learn Microsoft SQL Server?

Developers should learn Microsoft SQL Server when building enterprise applications, especially in Windows-centric environments or when using other Microsoft technologies like .NET, Azure, or Power BI, as it provides seamless integration and robust performance. It's ideal for scenarios requiring high availability, security compliance, and complex data analysis, such as financial systems, e-commerce platforms, or large-scale business operations.

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Learning Resources

Microsoft SQL Server Documentation

SQL Server Tutorial by W3Schools

SQL Server Course on Coursera

SQL Server Tutorial for Beginners on YouTube

Microsoft SQL Server 2019 Bible

Related Tools

Transact Sql Sql Server Management Studio Azure Sql Database Business Intelligence Data Warehousing

Alternatives to Microsoft SQL Server

Postgresql Mysql Oracle Database

Other Enterprise SQL

Always On Availability Groups

Always On Availability Groups is a high-availability and disaster recovery solution in Microsoft SQL Server that provides database-level failover for groups of databases. It allows multiple copies of a set of databases (availability replicas) to be maintained across different servers, ensuring data redundancy and automatic failover in case of primary server failure. This feature supports both synchronous and asynchronous data replication modes to balance performance and data protection needs.

Amazon Aurora is a fully managed, MySQL and PostgreSQL-compatible relational database service built for the cloud. It combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases, offering up to five times the throughput of standard MySQL and three times that of PostgreSQL. Aurora automatically handles tasks like hardware provisioning, database setup, patching, backups, and replication, while providing high durability and availability through distributed, fault-tolerant, self-healing storage.

Amazon Aurora Provisioned

Amazon Aurora Provisioned is a fully managed relational database service from AWS that offers high performance, scalability, and availability with MySQL and PostgreSQL compatibility. It uses a distributed, fault-tolerant storage system that automatically scales up to 128 TB per database instance, providing fast read replicas and continuous backup to Amazon S3. This provisioned model requires users to pre-allocate and pay for database instance capacity, making it suitable for predictable workloads.

Amazon Aurora Serverless

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database built for the cloud. It automatically starts up, shuts down, and scales capacity up or down based on application demand, eliminating the need to manage database instances. This serverless model is designed for applications with intermittent, unpredictable, or variable workloads.

Amazon Aurora Serverless

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database built for the cloud. It automatically starts up, shuts down, and scales capacity up or down based on application demand, eliminating the need to manage database instances. This serverless model is designed for applications with intermittent, unpredictable, or variable workloads.

Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers fast and predictable performance with seamless scalability. It supports key-value and document data models, automatically replicates data across multiple Availability Zones for high availability and durability, and provides built-in security, backup, and in-memory caching capabilities.