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SQL Server | Day 2 | Live class | with explanation and notes

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SQL Server is a relational database management system (RDBMS) developed by Microsoft. It's used to store and retrieve data for various applications, based on the relational model and using the Structured Query Language (SQL). It's available on Windows, Linux, and the Azure cloud platform.
Here's a more detailed explanation:
What it is:
Relational Database Management System (RDBMS):
SQL Server manages data organized in tables with rows and columns, enforcing relationships between data to maintain consistency.
Structured Query Language (SQL):
It's the standard language for interacting with relational databases, allowing users to query, insert, update, and delete data.
Developed by Microsoft:
SQL Server is a product of Microsoft, part of their broader suite of software and services.
Key Features:
Scalability:
SQL Server can handle a wide range of workloads, from small databases to large enterprise data warehouses.
Performance:
It's known for its performance, particularly in online transaction processing (OLTP) and data warehousing scenarios.
Security:
SQL Server offers various security features to protect data, including server-level roles, database roles, and encryption.
Cloud and On-premises Deployment:
SQL Server can be deployed in various environments, including on-premises servers, virtual machines, and in cloud platforms like Azure.
Management Tools:
SQL Server Management Studio (SSMS) provides a comprehensive interface for managing and administering SQL Server instances and databases.
Editions:
Developer Edition: A free, full-featured edition for development and testing purposes.
Express Edition: A free edition suitable for small databases and applications.
Standard Edition: Offers a balance of features and performance for many business needs.
Enterprise Edition: Provides advanced features and performance for large-scale deployments.
Use Cases:
Storing and retrieving data:
SQL Server can be used to store and retrieve various types of data, including customer records, sales transactions, scientific data, and more.
Building applications:
It's a foundation for many software applications, providing the data storage and retrieval capabilities they need.
Data warehousing:
SQL Server is used to build large-scale data warehouses for business intelligence and analytics.
Here's a more detailed explanation:
What it is:
Relational Database Management System (RDBMS):
SQL Server manages data organized in tables with rows and columns, enforcing relationships between data to maintain consistency.
Structured Query Language (SQL):
It's the standard language for interacting with relational databases, allowing users to query, insert, update, and delete data.
Developed by Microsoft:
SQL Server is a product of Microsoft, part of their broader suite of software and services.
Key Features:
Scalability:
SQL Server can handle a wide range of workloads, from small databases to large enterprise data warehouses.
Performance:
It's known for its performance, particularly in online transaction processing (OLTP) and data warehousing scenarios.
Security:
SQL Server offers various security features to protect data, including server-level roles, database roles, and encryption.
Cloud and On-premises Deployment:
SQL Server can be deployed in various environments, including on-premises servers, virtual machines, and in cloud platforms like Azure.
Management Tools:
SQL Server Management Studio (SSMS) provides a comprehensive interface for managing and administering SQL Server instances and databases.
Editions:
Developer Edition: A free, full-featured edition for development and testing purposes.
Express Edition: A free edition suitable for small databases and applications.
Standard Edition: Offers a balance of features and performance for many business needs.
Enterprise Edition: Provides advanced features and performance for large-scale deployments.
Use Cases:
Storing and retrieving data:
SQL Server can be used to store and retrieve various types of data, including customer records, sales transactions, scientific data, and more.
Building applications:
It's a foundation for many software applications, providing the data storage and retrieval capabilities they need.
Data warehousing:
SQL Server is used to build large-scale data warehouses for business intelligence and analytics.