Structured Query Language (SQL)

Corporate SQL development is essential for managing and manipulating relational databases efficiently. SQL (Structured Query Language) is the standard language used to communicate with databases and perform tasks such as querying data, modifying data, and managing database structures.

Proficiency in SQL enables professionals to design and optimize database schemas, write complex queries, and ensure data integrity and security. SQL skills are invaluable for roles such as database administrators, data analysts, and software developers working with relational databases.

Syllabus:

• 1) Introduction to Relational Databases
• Understanding Relational Database Concepts
• Relational Database Management Systems (RDBMS)
• SQL Standard and Dialects
• Popular RDBMS (MySQL, PostgreSQL, SQL Server, Oracle)
• 2) SQL Basics
• Overview of SQL Statements (SELECT, INSERT, UPDATE, DELETE)
• Filtering and Sorting Data
• Working with Aggregate Functions
• Joining Multiple Tables
• 3) Advanced SQL Queries
• Subqueries and Nested Queries
• Common Table Expressions (CTEs)
• Window Functions
• Stored Procedures and Functions
• 4) Database Design and Optimization
• Database Normalization
• Indexing and Query Optimization
• Performance Tuning Techniques
• Managing Database Constraints
• 5) Data Manipulation Language (DML)
• Inserting, Updating, and Deleting Data
• Transactions and Locking
• Working with Views and Materialized Views
• Managing Sequences and Identity Columns
• 6) Data Definition Language (DDL)
• Creating and Altering Tables
• Defining Constraints (Primary Key, Foreign Key, Unique)
• Managing Indexes and Views
• Granting and Revoking Permissions
• 7) Backup and Recovery
• Database Backup Strategies
• Point-in-Time Recovery
• Disaster Recovery Planning
• Backup Verification and Testing
• 8) Security and Compliance
• Securing Database Access
• Implementing Role-Based Access Control (RBAC)
• Auditing and Logging
• Ensuring Compliance with Data Protection Regulations