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Cursor Insert India
Database Design & Development
Database Design & Development
Course Description
Module 1: Introduction to Databases
- What is a Database?
- Types of Databases: Relational (SQL) vs. NoSQL
- Database Management Systems (DBMS) Overview
- Popular Databases: MySQL, PostgreSQL, MongoDB, Oracle, SQL Server
- Introduction to Client-Server Architecture
Module 2: Database Design Principles
- Understanding Data Modeling
- Entity-Relationship (ER) Diagrams & UML
- Normalization & Denormalization (1NF, 2NF, 3NF, BCNF)
- Primary Keys, Foreign Keys & Constraints
- Indexing & Performance Considerations
Module 3: Structured Query Language (SQL)
- DDL (Data Definition Language): CREATE, ALTER, DROP
- DML (Data Manipulation Language): SELECT, INSERT, UPDATE, DELETE
- DCL (Data Control Language): GRANT, REVOKE
- Advanced SQL Queries:
- Joins (INNER, LEFT, RIGHT, FULL)
- Subqueries & Nested Queries
- Aggregate Functions & GROUP BY
- Window Functions (ROW_NUMBER, RANK, PARTITION BY)
- Transactions & ACID Properties
Module 4: Database Development & Stored Procedures
- Writing Stored Procedures & Functions
- Triggers & Events
- Views & Materialized Views
- Cursors & Dynamic SQL
- Error Handling & Exception Management
Module 5: Advanced Database Optimization
- Query Optimization & Execution Plans
- Indexing Strategies (Clustered vs. Non-clustered Indexes)
- Partitioning & Sharding for Large Databases
- Caching & Performance Tuning
Module 6: NoSQL & Modern Databases
- Introduction to NoSQL Databases
- Key-Value Stores (Redis), Document Databases (MongoDB), Column Stores (Cassandra), Graph Databases (Neo4j)
- NoSQL vs. SQL: When to Use What?
- Schema Design for NoSQL Databases
Module 7: Database Security & Backup Strategies
- User Roles & Permissions Management
- Data Encryption & Security Best Practices
- Backup & Recovery Strategies
- Handling Data Breaches & Disaster Recovery
Module 8: Cloud Databases & Big Data Integration
- Cloud Database Services: AWS RDS, Azure SQL, Google Firestore
- Working with Big Data & Data Warehousing
- Introduction to ETL (Extract, Transform, Load) Pipelines
- Database Integration with Machine Learning & AI
Course Syllabus
1: Introduction to Databases
2: Database Design Principles
3: Structured Query Language (SQL)
4: Database Development & Stored Procedures
5: Advanced Database Optimization
6: NoSQL & Modern Databases
7: Database Security & Backup Strategies
8: Cloud Databases & Big Data Integration
Duration: 12 Months
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