SQL Server BasicsWhat is SQL Server database?What is RDBMS?What is Normalization?Why we use Denormalization?What_is_SQL?What is PL/SQL?Difference between SQL and PL/SQLDatabase TableOne to One RelationshipOne to Many RelationshipMany to Many RelationshipMany to One RelationshipString Data TypesNumber Data TypesDate Data TypesOther Data TypesCreate DatabaseDrop DatabaseCreating and Managing Users in SQL ServerCreate TableAlter TableDrop TableConstraints in SQL serverPrimary KeyForeign KeyUnique KeyCandidate KeyComposite KeyDifference between primary key and candidate keyPrimary key and foreign key relationshipSurrogate KeyCascading Referential Integrity ConstraintsSelf Referential Integrity ConstraintsInsert into statementInsert multiple recordsUpdate statementDelete statementTruncate statementDifference between Delete and TruncateAlias in SQL ServerSelect statementSelect DistinctSelect TopSelect IntoNull Functions(ISNULL(),NULLIF(),COALESCE())Sub QueryIdentity ColumnSequence objectDifference between sequence and identity columnSQL Server ClausesWHERE ClauseOrder By ClauseTop N ClauseGroup By ClauseHaving ClauseDifference between Where and HavingSQL Server OperatorsArithmetic OperatorsComparison OperatorsLogical OperatorsBitwise OperatorsAny OperatorsAll OperatorsUnion OperatorsUnion All OperatorsDifference between Union and Union AllIntersect OperatorExcept OperatorDifference between Except and IntersectJoinsInner JoinLeft JoinRight JoinFull JoinSelf JoinCross JoinViewsWhat are views?Create views using SSMSIndexed ViewsComplex ViewsCheck Option in ViewCheck Encryption in ViewSchema Binding Option in ViewRead-only ViewsUpdatable ViewsAdvantages and disadvantages of viewsCreate multiple views on one tableCan we implement index on views?Can we Perform Insert, update, delete operation on views?Stored Procedure and FunctionsWhat are Stored Procedures?Why we use stored procedures?Passing parameters to Stored procedureUser-Defined FunctionsDifference between UDF and Stored procedurePre-Defined Functions@@Indentity and Scope_IndentityNULLIF, ISNULL and COALESCE
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What is SQL Server?

SQL Server is a relational database management system (RDBMS) developed by Microsoft. It is a powerful and widely-used database platform designed to store and manage structured data. SQL Server is part of the Microsoft SQL Server family and has been around since the late 1980s, evolving over the years into a comprehensive data management solution.

Key features and characteristics of SQL Server include:

  1. Relational Database Management System: SQL Server is a relational database management system, which means it stores data in tables with rows and columns. It supports SQL (Structured Query Language) for querying, inserting, updating, and deleting data.
  2. Data Storage and Management: SQL Server allows you to create and manage databases, which are containers for tables, views, stored procedures, functions, and other database objects.
  3. Data Security: SQL Server provides robust security features to protect data, including user authentication, role-based access control, and encryption.
  4. Scalability and Performance: SQL Server is designed to handle large-scale databases and can scale vertically (adding more resources to a single server) and horizontally (distributing data across multiple servers).
  5. High Availability and Disaster Recovery: SQL Server supports features like failover clustering, database mirroring, and Always On Availability Groups to ensure high availability and disaster recovery.
  6. Business Intelligence: SQL Server includes features for business intelligence and data analytics, such as Integration Services (SSIS), Analysis Services (SSAS), and Reporting Services (SSRS).
  7. Advanced Query Optimization: SQL Server's query optimizer is responsible for efficiently executing SQL queries, optimizing performance, and choosing the best execution plans.
  8. Developer Tools and Ecosystem: SQL Server is supported by various development tools, including SQL Server Management Studio (SSMS), Visual Studio, and Azure Data Studio.
  9. Cloud Integration: SQL Server offers cloud integration with Microsoft Azure, allowing you to deploy, manage, and scale databases in the cloud.
  10. Different Editions: SQL Server comes in various editions, such as Express, Standard, Enterprise, and Developer Editions, each offering different sets of features and licensing options.

SQL Server is widely used in various industries and applications, including web applications, enterprise systems, business intelligence, data warehousing, and more. It provides a stable, secure, and feature-rich platform for managing and analyzing structured data efficiently.

Who is this course for?

Learning SQL Server can be beneficial for a wide range of individuals and professionals, as it is a versatile and widely-used relational database management system. Here are some groups of people who can benefit from learning SQL Server:

  1. Database Administrators (DBAs): Database administrators are responsible for managing and maintaining databases. Learning SQL Server is essential for DBAs to perform tasks such as database installation, configuration, backup and recovery, performance tuning, and security management.
  2. Software Developers: Software developers who work on applications that interact with databases should learn SQL Server. It enables them to write efficient SQL queries, design and optimize database schemas, and understand how to access and manipulate data in their applications.
  3. Web Developers: Web developers often need to work with databases to build dynamic web applications. Learning SQL Server helps them in creating data-driven websites, handling user inputs, and managing data storage and retrieval.
  4. Data Analysts and Data Scientists: Data analysts and data scientists frequently work with large datasets stored in databases. Learning SQL Server allows them to write complex queries, perform data analysis, and extract valuable insights from the data.
  5. Business Intelligence Professionals: Business intelligence professionals use SQL Server for data integration, data warehousing, and creating OLAP cubes. They utilize SQL Server Integration Services (SSIS) and SQL Server Analysis Services (SSAS) for data transformation and analysis.
  6. IT Professionals: IT professionals in various roles, such as system administrators, network administrators, and technical support specialists, may encounter SQL Server in their work. Understanding SQL Server basics helps them troubleshoot issues related to databases and perform routine maintenance tasks.
  7. Database Developers: Developers specializing in database development benefit from learning SQL Server to create efficient database designs, write stored procedures, functions, and triggers, and optimize the performance of their database applications.
  8. Project Managers: Project managers working on projects that involve databases can benefit from a basic understanding of SQL Server. It helps them communicate effectively with developers, DBAs, and stakeholders involved in the database-related aspects of the project.
  9. IT Students and Aspiring Professionals: Students studying computer science or IT-related fields can learn SQL Server to prepare for careers in database management, software development, data analysis, and other related roles.
  10. Self-Learners and Hobbyists: Anyone with an interest in databases and data management can learn SQL Server as a valuable skill for personal projects, hobby applications, or data analysis tasks.

Overall, SQL Server is a widely-used and powerful database management system, making it relevant and beneficial for a broad audience of IT professionals, developers, analysts, and students alike.

Key features of SQL SERVER

SQL Server, a relational database management system developed by Microsoft, offers a comprehensive set of features that make it a powerful and widely-used database platform. Some key features of SQL Server include:

  1. Relational Database Management System (RDBMS): SQL Server is designed to manage structured data in a relational model, with tables, rows, and columns, following the principles of ACID (Atomicity, Consistency, Isolation, Durability) transactions.
  2. Data Storage and Management: SQL Server allows you to create and manage databases, which serve as containers for tables, views, stored procedures, functions, and other database objects.
  3. T-SQL (Transact-SQL): SQL Server supports Transact-SQL (T-SQL), an extension of SQL, which provides additional programming constructs like variables, control flow statements, and error handling to enhance the capabilities of SQL.
  4. Security and Authentication: SQL Server provides robust security features, including user authentication, role-based access control, data encryption, and auditing capabilities to protect data from unauthorized access.
  5. High Availability and Disaster Recovery: SQL Server offers features like failover clustering, database mirroring, Always On Availability Groups, and backup and restore options to ensure high availability and disaster recovery.
  6. Scalability and Performance Optimization: SQL Server is designed to handle large-scale databases, and it provides tools for performance monitoring, query optimization, and indexing to improve the performance of database operations.
  7. Integration with Microsoft Technologies: SQL Server seamlessly integrates with other Microsoft technologies, such as .NET framework, Visual Studio, Azure services, Power BI, and Excel, making it well-suited for Microsoft-centric environments.
  8. Business Intelligence and Reporting: SQL Server provides business intelligence features through SQL Server Analysis Services (SSAS) for OLAP cubes, SQL Server Integration Services (SSIS) for data integration, and SQL Server Reporting Services (SSRS) for generating reports.
  9. Cloud Integration: SQL Server can be used on-premises as well as in the cloud using Microsoft Azure. SQL Server on Azure provides features like Azure SQL Database and Managed Instance for cloud-based database management.
  10. Machine Learning Services: SQL Server 2017 and later versions include Machine Learning Services, allowing you to run R and Python scripts directly within the database for advanced data analytics and predictive modeling.
  11. Graph Database Support: SQL Server 2017 introduced support for graph databases, enabling developers to model and query complex relationships between data points using graph database concepts.
  12. Temporal Tables: SQL Server 2016 introduced support for temporal tables, allowing developers to track changes to data over time, making it useful for auditing and historical analysis.
  13. JSON Support: SQL Server 2016 and later versions support JSON (JavaScript Object Notation), enabling the storage, manipulation, and querying of JSON data in the database.
  14. In-Memory OLTP: SQL Server 2014 introduced In-Memory OLTP, a feature that allows you to create memory-optimized tables and stored procedures for high-performance data processing.

These are just some of the key features of SQL Server. It is a feature-rich database management system that offers a wide range of capabilities for data storage, management, security, scalability, and business intelligence, making it a popular choice for various applications and industries.

Which types of Applications are developed by SQL SERVER?

SQL Server is a powerful relational database management system that can be used to develop a wide range of applications across different industries. Some of the types of applications that are commonly developed using SQL Server include:

  1. Web Applications: SQL Server is commonly used in web applications to store and manage data. Web developers use SQL Server to create dynamic websites, handle user data, and manage content.
  2. Enterprise Applications: SQL Server is widely used in large-scale enterprise applications for data storage, transaction processing, and business intelligence.
  3. Business Applications: SQL Server is used in various business applications, such as customer relationship management (CRM) systems, enterprise resource planning (ERP) systems, and supply chain management applications.
  4. Data Analytics and Business Intelligence (BI) Solutions: SQL Server is a popular choice for building data warehouses, data marts, and BI solutions. It supports OLAP (Online Analytical Processing) cubes and integration with tools like Power BI for data visualization and reporting.
  5. E-commerce Applications: SQL Server is used in e-commerce platforms to manage product catalogs, inventory, orders, and customer data.
  6. Content Management Systems (CMS): SQL Server is used in content management systems to store and manage content, including text, images, and multimedia files.
  7. Healthcare Applications: SQL Server is used in healthcare applications for patient record management, medical billing, and health information exchange.
  8. Financial Applications: SQL Server is used in financial applications for accounting, payroll processing, and financial reporting.
  9. Government and Public Sector Applications: SQL Server is used in various government and public sector applications for data management and reporting purposes.
  10. Educational Applications: SQL Server is used in educational applications for student information systems, learning management systems, and academic record management.
  11. Mobile Applications: SQL Server can be used in the backend of mobile applications to store and manage data, such as user profiles, app settings, and content.
  12. Gaming Applications: SQL Server is used in gaming applications for player data storage, game progress tracking, and analytics.
  13. Internet of Things (IoT) Applications: SQL Server can be used in IoT applications to store and process data generated by IoT devices.
  14. Social Media Applications: SQL Server can be used in social media applications for data storage and user activity tracking.

SQL Server's versatility, scalability, and reliability make it suitable for a wide range of application scenarios, from small-scale projects to large enterprise-level solutions. Its integration with Microsoft technologies and support for cloud deployment through Microsoft Azure further enhances its appeal for developers and organizations.

What you will learn from this SQL Server Course?

Here are some of the key things any of the SQL developer can learn from SQL Server:

  1. SQL Basics
  2. SQL Clauses
  3. SQL Operators
  4. Joins
  5. Views
  6. Stored Procedure and Functions
  7. Triggers
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