SQL Server Advanced

Skill Goal:
Strengthen core SQL querying techniques to handle structured and layered data scenarios.

Skills Developed:

• Strengthen SELECT queries with joins and filtering

• Apply GROUP BY and HAVING in layered scenarios

• Use subqueries and views effectively

• Reinforce best practices for structured querying

Sprint Outcome:
Ability to write structured, readable, and optimized SQL queries for real-world reporting scenarios.

Skill Goal:
Develop the ability to combine multiple datasets using advanced join logic.

Skills Developed:

• Write multi-table join queries

• Apply advanced join conditions

• Use self-joins for relationship-based scenarios

• Structure joins for clarity and maintainability

Sprint Outcome:
Ability to design and execute complex multi-table queries for business data analysis.

Skill Goal:
Improve query organization and readability using advanced structuring techniques.

Skills Developed:

• Use derived tables in the FROM clause

• Apply Common Table Expressions (CTEs)

• Improve query readability and structure

• Simplify complex nested logic

Sprint Outcome:
Ability to transform complex nested queries into clean, maintainable SQL structures.

Skill Goal:
Master advanced filtering and logic using subqueries and conditional operators.

Skills Developed:

• Write correlated subqueries

• Use EXISTS and NOT EXISTS

• Control filtering using nested logic

• Recognize performance impacts of subqueries

Sprint Outcome:
Ability to implement precise and efficient filtering logic in advanced SQL scenarios.

Skill Goal:
Enable analytical computations directly within SQL queries.

Skills Developed:

• Apply window functions using OVER

• Use PARTITION BY and ORDER BY

• Create ROW_NUMBER, RANK, and DENSE_RANK

• Build running totals and analytical queries

Sprint Outcome:
Ability to perform ranking, sequencing, and trend analysis using SQL window functions.

Skill Goal:
Design complex reporting queries combining multiple analytical techniques.

Skills Developed:

• Apply complex GROUP BY and HAVING scenarios

• Combine aggregations with window functions

• Write layered reporting queries

• Solve advanced analytical use cases

Sprint Outcome:
Ability to create enterprise-level reports using advanced SQL techniques.

Skill Goal:
Understand and improve query performance using indexing and execution analysis.

Skills Developed:

• Understand clustered and non-clustered indexes

• Identify how indexes impact query performance

• Read and interpret execution plans

• Identify bottlenecks in query execution

Sprint Outcome:
Ability to analyze and optimize query performance using indexing strategies.

Skill Goal:
Enhance SQL performance through optimization techniques.

Skills Developed:

• Identify slow-running queries

• Refactor queries for better performance

• Apply high-performance SQL best practices

• Optimize enterprise-level datasets

Sprint Outcome:
Ability to significantly improve query efficiency in real-world database environments.

Skill Goal:
Leverage views for reusable and maintainable data access layers.

Skills Developed:

• Create and manage complex views

• Use views for data abstraction and reuse

• Understand performance considerations with views

Sprint Outcome:
Ability to design reusable SQL components for scalable reporting solutions.

Skill Goal:
Apply all advanced SQL concepts to solve real-world enterprise problems.

Skills Developed:

• Solve end-to-end advanced querying problems

• Apply performance tuning techniques in real scenarios

• Implement SQL Server best practices

Sprint Outcome:
Ability to handle large-scale, complex SQL problems with optimized solutions.

Project Goal:
Design, optimize, and present a complete data-driven SQL solution for a real-world business scenario using advanced SQL Server techniques.

Skills Demonstrated:

• Analyze a real-world business scenario provided in class

• Understand business objectives and reporting requirements

• Design and write complex SQL queries using joins, subqueries, and CTEs

• Apply window functions for analytical insights

• Build advanced reporting queries

• Optimize queries using indexes and execution plans

• Improve performance of large datasets

• Create reusable views for reporting

• Present structured insights and query outputs

• Demonstrate SQL best practices and performance tuning techniques