SQL Server Online Training Program

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Master SQL Server with Our Online Live Training Program

Welcome to Our SQL Server Online Training Program. Are you a student, developer, or IT professional looking to boost your SQL Server skills? Join our Online Live SQL Server Training Program designed to equip you with hands-on experience and in-depth knowledge of SQL Server, from the basics to advanced techniques. 

What is SQL Server?

SQL Server is a powerful relational database management system (RDBMS) developed by Microsoft. It is widely used by top organizations worldwide for building, managing, and maintaining databases, and is recognized for its exceptional performance, security, and scalability. SQL Server is essential for anyone involved in data management, database development, or data analysis. SQL Server enables us to:

• Store and retrieve structured data with blazing speed.
• Secure sensitive information with encryption and role-based access.
• Automate maintenance tasks and schedule jobs.
• Analyze data in real-time using built-in analytics and reporting services.

How To Join Our Online SQL Server Training Program?

Please fill out the following form. Once you have filled out the form, we will contact you and share the details about the Online SQL Server Training :

Course: SQL Server Online Training
Online Training Registration Link: https://forms.gle/ePSaMJ2Wq5DfE5iU8
Date and Time: Coming Soon
Duration: 3 Months (Daily 1.30 Hours)
Course Fee: 8000 (INR) or 100 USD

Contact Us

Have questions? We’re here to help!
📧 Email: info@dotnettutorials.net
📞 Phone/WhatsApp: +91-7021801173
🌐 Website: https://dotnettutorials.net/lesson/sql-server-online-training/
📨 Telegram Group: https://telegram.me/oraclesqlservermysql

SQL Server Course Syllabus

Chapter 1: Introduction to SQL Server

This chapter gives a brief introduction to SQL Server and RDBMS concepts, helping them understand the various SQL Server editions, the basics of installation and configuration, and how to navigate and connect to SQL Server using SQL Server Management Studio (SSMS). Students will acquire the foundational skills necessary to start working with SQL Server in a professional environment.

• Overview of RDBMS and SQL Server Editions
• SQL Server Installation and Configuration Basics
• SQL Server Management Studio (SSMS) Overview
• Connecting to SQL Server using SSMS

Chapter 2: Working with Databases and Tables

In this chapter, you will learn how to create, alter, and delete databases and tables, work with various data types and constraints, and implement features such as identity columns, sequences, temporal tables, computed columns, graph tables, and ledger tables. The chapter emphasizes practical knowledge on structuring and organizing relational data.

• Creating, Altering, and Deleting Databases in SQL Server
• Creating, Altering, and Deleting Tables in SQL Server
• SQL Server Data Types: Numeric, String, DateTime, Binary, etc
• Constraints in SQL Server: Primary Key, Foreign Key, UNIQUE, CHECK, and DEFAULT
• Cascading Referential Integrity Constraint in SQL Server
• Identity Column in SQL Server
• Sequence Object in SQL Server
• Difference Between Sequence and Identity in SQL Server
• Select Statement in SQL Server
• Temporal Tables (System-Versioned Tables)
• Computed Columns

Chapter 3: SQL Server Data Types and Variables

This chapter explores how to use and differentiate SQL Server’s data types, including numeric, string, date, binary, and spatial types, as well as scalar and table variables. You will also learn about the differences between implicit and explicit conversions, as well as the use of system-defined and custom variables.

• Numeric, String, DateTime, Binary, and Other Data Types
• Table vs Scalar Variables
• Implicit vs Explicit Conversions
• Global and Local Variables
• HierarchyID and Spatial Data Types (geometry and geography)

Chapter 4: SQL Server Basic Queries

In this chapter, you will learn the core querying skills using SELECT statements along with WHERE, ORDER BY, GROUP BY, HAVING, and DISTINCT clauses. You will gain hands-on experience with standard operators, such as IN, BETWEEN, and LIKE, to filter and aggregate data meaningfully.

• SELECT Statement Basics
• WHERE, ORDER BY, and TOP N Clauses
• IN, BETWEEN, LIKE Operators
• GROUP BY and HAVING Clauses
• Difference Between Where and Having Clause in SQL Server
• DISTINCT Clause

Chapter 5: SQL Server – Operators

This chapter focuses on the practical application of SQL operators, including arithmetic, logical, and comparison types, as well as advanced set operations like UNION, EXCEPT, and INTERSECT. Students also explore APPLY operators and SQL Server 2022-specific operators, such as IS DISTINCT FROM.

• Assignment, Arithmetic, Comparison, and Logical Operators in SQL Server
• IN, BETWEEN, LIKE Operators in SQL Server
• ALL, ANY, SOME, EXISTS Operators in SQL Server
• UNION, UNION ALL, EXCEPT, INTERSECT Operators
• Differences Between UNION, EXCEPT, and INTERSECT Operators in SQL Server
• APPLY Operator (CROSS APPLY, OUTER APPLY)
• IS DISTINCT FROM and IS NOT DISTINCT FROM (introduced in SQL Server 2022)

Chapter 6: SQL Server – JOINS

Students will understand how to retrieve data from multiple tables using different types of joins, including INNER, LEFT, RIGHT, FULL OUTER, CROSS JOIN, and SELF JOIN. Real-time scenarios and the implications for join performance are covered to enhance data retrieval logic.

• Joins in SQL Server
• Inner Join in SQL Server
• Left Outer Join in SQL Server
• Right Outer Join in SQL Server
• Full Outer Join in SQL Server
• SQL Server Self Join
• Cross Join in SQL Server

Chapter 7: SQL Server – Indexes

This chapter explains the impact of indexes on performance, covering various types, including clustered, non-clustered, filtered, and columnstore indexes. Students will learn how to effectively utilize indexing strategies to optimize queries, DML operations, and analytics scenarios.

• Indexes in SQL Server
• Clustered Index in SQL Server
• Non-Clustered Index in SQL Server
• How Index Impacts DML Operations in SQL Server
• SQL Server Unique Index
• Index in GROUP BY Clause in SQL Server
• Advantages and Disadvantages of Indexes in SQL Server
• Filtered Indexes
• Columnstore Indexes
• Hybrid Columnstore Index
• Indexing for Graph Tables

Chapter 8: SQL Server – Functions

Students will master built-in functions, such as string and window functions, use ranking functions, and create user-defined scalar and table-valued functions. Concepts like schema binding, determinism, and encryption in functions are also introduced.

• Built-in String Functions in SQL Server
• Window Functions (e.g., RANK(), ROW_NUMBER(), LEAD(), LAG())
• OVER Clause in SQL Server
• Row_Number Function in SQL Server
• Rank and Dense_Rank Function in SQL Server
• User-Defined Functions: Scalar, Inline Table-Valued, Multi-Statement Table-Valued
• Encryption and Schema Binding Option in SQL Server Functions
• Deterministic and Non-Deterministic Functions in SQL Server

Chapter 9: SQL Server – Stored Procedure

In this chapter, students will learn how to create, manage, and optimize stored procedures with parameters, return values, and advanced features like encryption, recompilation, TVPs, and the WITH RESULT SETS clause for flexible result formatting.

• Creating and Managing Stored Procedures
• Stored Procedure Return Values and Output Parameters
• Temporary Stored Procedures
• Table-Valued Parameters (TVP) in Stored Procedure
• Encryption and Recompile Attributes for Stored Procedures
• WITH RESULT SETS clause

Chapter 10: Exception Handling and Transaction Management

Students will understand the core principles of transaction control, including ACID properties, nested and explicit transactions, and exception handling using TRY…CATCH blocks and error functions like @@ERROR and RAISERROR for robust application logic.

• Transaction Management in SQL Server
• Types of Transactions in SQL Server
• Nested Transactions in SQL Server
• ACID Properties in SQL Server
• Implicit vs Explicit Transactions.
• Exception Handling in SQL Server
• RaiseError and @@ERROR Function in SQL Server
• How to Raise Errors Explicitly in SQL Server
• Exception Handling Using Try Catch in SQL Server

Chapter 11: Views in SQL Server

This chapter explains how to create, manage, and optimize views, including complex views, indexed views, and views with schema binding and encryption. Students will understand the benefits and limitations of using views for abstraction and security.

• Views in SQL Server
• Advantages and Disadvantages of Views in SQL Server
• Complex Views in SQL Server
• Views with Check Option, Check Encryption, and Schema Binding in SQL Server
• Indexed View in SQL Server

Chapter 12: Triggers in SQL Server

Students will explore DML, DDL, and logon triggers, use inserted and deleted tables, manage trigger execution order, and apply triggers for auditing and automation, thereby gaining a comprehensive understanding of trigger behavior in SQL Server.

• Triggers in SQL Server
• Inserted and Deleted Tables in SQL Server
• DML Trigger Real-Time Examples in SQL Server
• Instead Of Trigger in SQL Server
• DDL Triggers in SQL Server
• Triggers Execution Order in SQL Server
• Creating and Managing Users in SQL Server
• Logon Triggers in SQL Server
• Use of Triggers for Audit Logs

Chapter 13: Concurrent Transactions in SQL Server

This chapter introduces concurrency issues, such as dirty reads and phantom reads, and how different isolation levels, such as snapshot and read committed snapshot, address them. Students will also learn about Accelerated Database Recovery introduced in SQL Server 2019.

• Concurrency Problems in SQL Server
• Dirty Read Concurrency Problem in SQL Server
• Lost Update Concurrency Problem in SQL Server
• Non-Repeatable Read Concurrency Problem
• Phantom Read Problem in SQL Server
• Snapshot Transaction Isolation Level in SQL Server
• Read Committed Snapshot Isolation Level
• Difference between Snapshot Isolation and Read Committed Snapshot
• Accelerated Database Recovery (ADR – SQL Server 2019+)

Chapter 14: Deadlock in SQL Server

Students will understand what causes deadlocks and how to identify, monitor, and prevent them using SQL Profiler, system views, and error logs. Techniques for detecting blocking queries and mitigating deadlock risks are also discussed.

• Deadlock in SQL Server
• Deadlock Logging in SQL Server Error Log
• SQL Server Deadlock Analysis and Prevention
• Capturing Deadlocks using SQL Profiler
• SQL Server Deadlock Error Handling
• How to Find Blocking Queries in SQL Server

Chapter 15: Advanced Database Concepts in SQL Server

This chapter introduces advanced topics like normalization, star schemas, pivoting, SCDs, PolyBase, and external table access. Students will learn how SQL Server integrates with modern data architectures and supports data virtualization and classification.

• Database Normalization in SQL Server
• Database De-Normalization in SQL Server
• Star Schema vs Snowflake Schema in SQL Server
• How to Schedule Jobs in SQL Server using SQL Server Agent
• How SQL Server Stores and Manages Data Internally
• Change Data Capture in SQL Server
• How to Implement PIVOT and UNPIVOT in SQL Server
• Reverse PIVOT Table in SQL Server
• Slowly Changing Dimensions (SCD)
• Change Tracking (CT) Explicitly
• PolyBase (Querying External Data)
• Data Virtualization using External Tables
• Data Classification Features
• SQL MERGE Statements
• CTE in SQL Server
• SubQuery in SQL Server

Chapter 16: SQL Server Performance Optimization

Students will gain insights into performance tuning through indexing, query rewriting, seek vs. scan analysis, and use of the Query Store. Optimization tools, such as the Tuning Advisor, and techniques, such as wait stat analysis, are emphasized.

• Query Performance Improvement Strategies
• Table Scan vs Seek Scan
• Covering Indexes to Reduce RID Lookup
• Using Unique Keys for Performance Optimization
• Database Engine Tuning Advisor for Performance
• Query Store Enhancements (2022+)
• Wait Stats Analysis

Chapter 17: SQL Server – Cursors

This chapter covers cursor declaration, types, use cases, performance implications, and best practices. Students will also learn set-based alternatives to cursors, promoting more efficient query writing.

• Declaring, opening, fetching, and closing cursors.
• Types of cursors: static, dynamic, forward-only, and keyset-driven.
• When and how to use cursors appropriately.
• Alternatives to cursors for set-based operations.
• Performance implications and best practices.

Chapter 18: SQL Server Security & Authentication

Students will learn SQL Server’s security model, including authentication modes, user roles, permissions, encryption, dynamic data masking, row-level security, and how to protect against SQL injection and other threats using advanced features.

• Authentication Modes: Windows Authentication, SQL Server Authentication
• Logins, Users, Roles, and Schemas
• Principals & Permission Hierarchy
• Authentication vs. Authorization
• GRANT, DENY, and REVOKE Statements
• Server, Database, and Object-level Roles
• Dynamic Data Masking & Row-Level Security
• Encryption: Transparent Data Encryption (TDE), Always Encrypted
• SQL Injection Prevention.
• Advanced Threat Protection in SQL Server, including Data Classification and SQL Server Threat Detection.

Chapter 19: SQL Server Backup & Recovery Strategies

This chapter teaches students about different backup types and recovery models, and how to restore databases under various scenarios, such as point-in-time recovery. They’ll also learn about compression, encryption, and disaster recovery planning.

• Backup Types: Full, Differential, Log, File/Filegroup
• Recovery Models: Simple, Full, Bulk-Logged
• Restore Scenarios: Point-In-Time Recovery, Piecemeal, Page-Level Recovery
• Backup Compression and Encryption
• Backup Strategies and Best Practices
• Restore Strategies

Chapter 20: SQL Server File Management & Optimization

Students will learn to manage SQL Server database files, configure filegroups, optimize TempDB, and use autogrowth and shrinking effectively to maintain database health and performance.

• File and Filegroup Design
• Database Files vs. Log Files
• TempDB Architecture and Optimization
• Shrinking and Expanding Files
• Autogrowth, Pre-Sizing, and Shrink Operations
• Moving Files and Filegroups
• TempDB Configuration & Best Practices

Chapter 21: SQL Server Replication Management

This chapter introduces the various replication types, including snapshot, transactional, and merge, and explains how to configure, monitor, and troubleshoot replication scenarios. Students also explore Always On availability for high availability.

• Types of Replications: Snapshot, Transactional, Merge
• Replication Topology, Agents, and Security
• Conflict Resolution and Monitoring
• Configuring and Monitoring Replication
• Use Cases and Troubleshooting
• SQL Server Always On Availability Groups

Chapter 22: SQL Server Partitioning & Data Management

Students will learn how to partition tables and indexes using partition schemes and functions. Techniques such as sliding-window partitions and partition switching will help them manage large datasets effectively.

• Partitioned Tables and Indexes
• Partition Functions and Schemes
• Partition Switching and Management
• Sliding-Window Partitioning
• Benefits and Management of Partitioning

Chapter 23: SQL Server Query Optimization & Execution Plans

This chapter focuses on interpreting execution plans, managing plan cache, handling parameter sniffing, and using query hints and guides. Students will learn how to fine-tune queries for maximum efficiency.

• Statistics & Cardinality Estimation
• Execution Plans: Estimated vs. Actual Plans
• Plan Cache and Parameter Sniffing
• Recompiling Queries and Forcing Execution Plans
• Adaptive Query Plans
• Parameter Sensitive Plan (PSP) Optimization – SQL Server 2022
• Query Hints and Plan Guides Deep Dive

Chapter 24: Dynamic SQL

Students will explore how to generate and safely execute dynamic SQL using EXEC and sp_executesql, implement parameterization, and prevent SQL injection while maintaining plan reuse.

• EXEC vs. sp_executesql
• Parameterization & Plan Reuse
• SQL Injection Prevention

Chapter 25: SQL Server XML & JSON Data Handling

This chapter teaches students to store, query, and manipulate XML and JSON data using SQL Server’s built-in support, including FOR XML, OPENJSON, XQuery, and relevant indexing strategies.

• Working with XML: FOR XML, OPENXML, XQuery
• Working with JSON: FOR JSON, OPENJSON, JSON_MODIFY
• XML & JSON Indexes
• Advanced XML/JSON Queries: FOR XML PATH, OPENXML Nodes, JSON_VALUE, JSON_QUERY

Chapter 26: SQL Server Data Masking & Encryption

Students will learn about static and dynamic data masking, Transparent Data Encryption, Always Encrypted, and how to apply these features in real-world use cases to protect sensitive data.

• Static vs. Dynamic Data Masking
• Transparent Data Encryption (TDE)
• Always Encrypted
• Use Cases for Data Masking

Chapter 27: SQL Server Auditing, Monitoring & Troubleshooting

This chapter covers auditing with SQL Audit, performance monitoring using DMVs and Extended Events, and troubleshooting with tools such as Activity Monitor and custom scripts to ensure SQL Server’s health.

• SQL Trace vs Extended Events
• SQL Server Audit (Server & Database)
• Dynamic Management Views (DMVs) & Functions (DMFs)
• Activity Monitor and Custom Monitoring Scripts
• Performance Monitor Counters
• Extended Events

Chapter 28: TempDB Management & Optimization

Students will understand how TempDB works, its role in SQL Server performance, and how to properly size and configure it to avoid contention and manage the version store efficiently.

• Multiple TempDB Data Files and Sizing
• TempDB Contention Issues
• Version Store Management

Chapter 29: SQL Server Log Shipping & Disaster Recovery

This chapter teaches you how to configure log shipping, automate backup and restore operations, and handle monitoring and failover to ensure business continuity and disaster recovery preparedness.

• Log Shipping Overview: Primary/Secondary Roles
• Backup, Copy & Restore Jobs
• Failover Strategies and Monitoring
• Configuring Log Shipping

Chapter 30: Data Compression Techniques in SQL Server

Students will explore row and page compression and columnstore indexes, and learn how to effectively use data compression techniques to save storage and enhance performance in large-scale systems.

• Row & Page Compression
• Columnstore Indexes
• Performance Trade-offs: Space vs. Performance
• Archiving and Partitioning Large Tables

Chapter 31: SQL Server Database Mail & Alerts

This chapter focuses on configuring and using Database Mail to send notifications and query results, and setting alerts to monitor job failures and automate communication with administrators.

• Configuring Database Mail: Profiles, Accounts
• Using sp_send_dbmail
• Sending Query Results via Email
• Setting Alerts for Job Failures

Chapter 32: SQL Server Data Import/Export & Integration

Students will learn to import and export data using BCP, BULK INSERT, and the Import/Export Wizard, integrate external data formats such as CSV and Excel, and perform ETL using SSIS.

• Bulk Insert, BCP, OPENROWSET
• Using Import/Export Wizard & SSIS
• Integration with External Data Formats: Excel, CSV

Chapter 33: SQL Server Linked Servers for Cross-Server Queries

This chapter explains how to create, secure, and use linked servers to execute distributed queries across servers using four-part naming and covers best practices for security.

• Creating and Securing Linked Servers
• Distributed Queries & EXEC AT
• Four-Part Naming Convention
• Linked Server Security Considerations

Chapter 34: SQL Server Plan Cache & Query Recompilation

Students will understand how the plan cache works, how to manage it using DBCC commands, and how to handle issues such as parameter sniffing through plan guides, recompilation, and query hints.

• Plan Cache Architecture
• Managing Plan Cache: DBCC FREEPROCCACHE, Recompile Options
• Plan Forcing & Plan Guides
• Plan Cache Monitoring
• Handling Parameter Sniffing Issues

Chapter 35: SQL Server Batch Processing & Bulk Insert

This chapter focuses on efficiently handling large data volumes using batching, SQLBulkCopy, BCP, and parallel inserts. Students will also explore performance strategies for ETL workloads.

• BCP Utility & BULK INSERT
• OPENROWSET(BULK)
• Batching Strategy for DML
• SQL MERGE
• SqlBulkCopy in .NET
• ETL Performance Considerations
• Parallel Insert (SQL Server 2022) – speeds up INSERT INTO … SELECT

Chapter 36: SQL Server Automation & Job Scheduling

Students will learn to automate SQL tasks using SQL Server Agent, configure jobs, steps, schedules, and alerts, and use PowerShell or SQLCMD for scripting and maintenance.

• SQL Server Agent: Jobs, Steps, Schedules
• Alerts, Operators, and Maintenance Plans
• PowerShell & SQLCMD for Automation
• Configuring SQL Server Agent Jobs

Note: If we have missed any topics, new features are introduced, or anyone wants to learn concepts not covered in this SQL Server Online Training Program syllabus, please let us know, and we will also include them in this course. If you have any questions, please comment in the comment box.

Prerequisites to Learn SQL Server

• Basic understanding of databases (optional but beneficial).
• Familiarity with the Windows operating system.
• Passion to learn and explore database technologies.

Don’t Miss Out – Become a SQL Server Expert Today!

Whether you’re aiming for your first job, a promotion, or just want to build solid backend/database skills, our SQL Server Online Training Program is built to help you succeed step-by-step, chapter-by-chapter, with real-time examples. Enroll now and start your journey to becoming a skilled SQL Server professional. For more information or to register, contact us at info@dotnettutorials.net or call us at +91 7021801173.