Phase 7 • SQL & Database Mastery

Phase 7 provides comprehensive SQL and database training from fundamentals to advanced topics. Learners master relational database concepts, SQL query optimization, database design, and enterprise database features.

What you will practice

Relational database concepts and design principles
Data Definition Language (DDL) for schema management
Data Manipulation Language (DML) for CRUD operations
Advanced SQL queries with joins, subqueries, and CTEs
Database performance optimization with indexes
Transaction management and ACID properties
Stored procedures and triggers for business logic
Database design and normalization techniques
Working with JSON and XML in SQL
Database security and access control
Performance tuning and query optimization

Lesson sprint

:material-tag: Day 91 – Relational Databases: Understand relational database fundamentals.
:material-tag: Day 92 – Data Definition Language: Create and modify database schemas.
:material-tag: Day 93 – Data Manipulation Language: Insert, update, and delete data.
:material-tag: Day 94 – Data Query Language: Master SELECT queries and filtering.
:material-tag: Day 95 – Joins: Combine data from multiple tables effectively.
:material-tag: Day 96 – Subqueries: Write nested queries for complex logic.
:material-tag: Day 97 – Views: Create reusable virtual tables.
:material-tag: Day 98 – Indexes: Optimize query performance with indexes.
:material-tag: Day 99 – Transactions: Ensure data consistency with transactions.
:material-tag: Day 100 – Stored Procedures: Encapsulate business logic in the database.
:material-tag: Day 101 – Triggers: Automate actions with database triggers.
:material-tag: Day 102 – Common Table Expressions: Write readable recursive and hierarchical queries.
:material-tag: Day 103 – Pivoting Data: Transform rows to columns for analysis.
:material-tag: Day 104 – Database Design and Normalization: Design efficient, normalized schemas.
:material-tag: Day 105 – JSON in SQL: Work with JSON data in relational databases.
:material-tag: Day 106 – XML in SQL: Process XML documents with SQL.
:material-tag: Day 107 – Security: Implement database security and access control.
:material-tag: Day 108 – Performance Tuning: Optimize database and query performance.

Learning outcomes

By completing Phase 7, you will be able to:

Design normalized relational database schemas
Write complex SQL queries for analytical tasks
Optimize database performance with proper indexing
Implement stored procedures and triggers for business logic
Manage transactions to ensure data integrity
Work with modern data formats (JSON, XML) in SQL
Secure databases with proper access controls
Tune queries and databases for optimal performance

Integration with earlier phases

Phase 7 complements earlier phases by providing deep database expertise:

With Phase 2: Enhance your Python database skills (Days 31-32) with advanced SQL knowledge
With Phase 5: Apply database design principles to BI data warehouses and pipelines
With Phase 4: Build efficient data pipelines for ML feature stores

Congratulations on completing the curriculum! Review the Phase Overview to plan your learning path or revisit specific phases to deepen your expertise.