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SQL Server Advanced Training

A professional SQL Server advanced training focused on mastering complex queries, advanced data analysis, and performance-oriented SQL techniques using Microsoft SQL Server through hands-on practice.

Target Audience

  • SQL professionals with strong foundational SQL Server knowledge

  • Data analysts working with complex datasets

  • Business analysts performing advanced data analysis

  • BI developers building SQL-based reports and datasets

  • Database analysts responsible for query optimization

  • Application support engineers handling SQL-based systems

  • Professionals preparing for advanced SQL or data roles

  • Teams working in SQL Server enterprise environments

Highlights

  • Master advanced SQL Server querying and optimization techniques

  • Instructor-led training with hands-on assignments and guided practice

  • Work with complex joins, CTEs, and derived tables

  • Apply analytical (window) functions for advanced reporting

  • Optimize queries using indexes and execution plans

  • Design scalable and maintainable SQL queries

  • Practice real-world SQL performance scenarios

  • Build enterprise-ready SQL skills for analytics and reporting

Overview

SQL Server Advanced Training is an advanced, hands-on course designed for professionals who want to deepen their expertise in writing complex SQL queries, performing advanced data analysis, and optimizing query performance using Microsoft SQL Server. The course focuses exclusively on advanced querying techniques and performance considerations, without covering procedural T-SQL programming constructs.

The training begins with a structured recap of SQL Server fundamentals to ensure a strong baseline across all learners. It then progresses into advanced topics such as complex joins, derived tables, Common Table Expressions (CTEs), correlated subqueries, and analytical (window) functions used in real-world reporting and analytics scenarios.

As the course advances, learners explore performance-oriented SQL techniques including indexes, execution plans, and query optimization strategies. The course also covers advanced use of views and data abstraction to support scalable and maintainable SQL solutions in enterprise environments.

By the end of the course, learners will be able to design efficient, high-performing SQL queries, analyze and optimize query execution, and confidently handle complex data analysis requirements—making this course ideal for SQL professionals working with large datasets and business-critical systems.

Prerequisite

To successfully complete SQL Server Advanced Training, learners should have:

  • Prior experience writing SQL queries using Microsoft SQL Server

  • Strong understanding of SELECT statements, joins, and aggregations

  • Familiarity with GROUP BY, HAVING, subqueries, and basic views

  • Experience working with relational database tables and keys

  • Comfort using SQL Server Management Studio (SSMS)

Outcomes

By the end of this course, you will be able to:

  • Write complex and efficient SQL Server queries for large datasets

  • Use derived tables, CTEs, and advanced subqueries effectively

  • Apply analytical (window) functions for advanced reporting and analysis

  • Design queries optimized for performance and scalability

  • Read and interpret execution plans to identify bottlenecks

  • Apply indexing strategies to improve query performance

  • Create and manage advanced views for data abstraction

  • Implement SQL best practices for enterprise reporting and analytics

Job Roles

This course prepares learners for advanced, query-focused roles that require strong SQL Server expertise in analytics, reporting, and performance optimization. After completing the training, learners will be better prepared for positions such as:

  • SQL Developer

  • Senior Data Analyst

  • Database Analyst

  • Business Intelligence (BI) Developer

  • Reporting and Analytics Specialist

  • Application Support Engineer (Data-Focused)

  • Data Engineer

  • Technical Analyst

Curriculum

Module 1: Recap of SQL Server Fundamentals

  • Review of SELECT queries, joins, filtering, and aggregations

  • Refreshing GROUP BY, HAVING, subqueries, and views

  • Reinforcing SQL Server querying best practices

Module 2: Advanced Joins and Complex Query Patterns

  • Multi-table joins and complex join conditions

  • Self joins and advanced relationship scenarios

  • Writing readable and maintainable join queries

Module 3: Inline Views, Derived Tables, and CTEs

  • Using derived tables in the FROM clause

  • Common Table Expressions (CTEs) for query structuring

  • Improving query readability and maintainability

Module 4: Advanced Subqueries and Query Logic

  • Correlated subqueries

  • EXISTS and NOT EXISTS

  • Performance considerations for nested queries

Module 5: Analytical (Window) Functions

  • Understanding window functions in SQL Server

  • OVER, PARTITION BY, and ORDER BY

  • ROW_NUMBER, RANK, DENSE_RANK, running totals

Module 6: Advanced Aggregations and Reporting Queries

  • Complex GROUP BY and HAVING scenarios

  • Combining aggregations with window functions

  • Advanced reporting and analytical query patterns

Module 7: Indexes and Execution Plans

  • Understanding indexes and their impact on queries

  • Clustered vs non-clustered indexes

  • Reading and interpreting execution plans

Module 8: Query Performance Optimization

  • Identifying slow-running queries

  • Query refactoring and optimization techniques

  • Best practices for writing high-performance SQL

Module 9: Advanced Views and Data Abstraction

  • Creating and managing complex views

  • Using views for abstraction and reuse

  • Performance considerations with views

Module 10: Real-World Query Optimization Scenarios

  • End-to-end advanced querying exercises

  • Performance tuning case studies

  • Applying best practices to enterprise datasets

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Demand for This Course

As organizations work with growing volumes of structured data, there is strong demand for professionals who can write advanced SQL queries, analyze complex datasets, and optimize query performance in Microsoft SQL Server. Beyond basic querying, businesses need experts who understand how to design efficient, scalable SQL solutions that support analytics, reporting, and operational decision-making.

SQL Server is widely used across industries such as finance, healthcare, retail, manufacturing, government, and technology. In these environments, poorly written or inefficient queries can impact report performance, dashboards, and downstream systems. Employers increasingly look for professionals who can go beyond basic SQL and apply advanced querying techniques, analytical functions, and performance optimization best practices.

This course directly addresses the growing need for:

  • Professionals writing complex SQL queries for reporting and analytics

  • Data and BI teams optimizing SQL Server query performance

  • Analysts working with large, enterprise-scale datasets

  • Organizations relying on SQL Server for business-critical reporting

  • Teams seeking to improve query efficiency and scalability

  • Professionals advancing from foundational to advanced SQL roles

By strengthening advanced SQL Server querying and optimization skills, learners gain the ability to support high-performance analytics and reporting solutions. This course helps organizations close the gap between basic SQL knowledge and enterprise-ready SQL expertise, ensuring data is accessed efficiently, accurately, and at scale.