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Database Design & Administration
Database Design & Administration
Curriculum
12 Sections
44 Lessons
12 Weeks
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Module 01: Introduction
4
1.0
Overview of databases and their importance
1.1
Introduction to DBMS and its role
1.2
Types of databases (relational, NoSQL, etc.)
1.3
Popular DBMS systems (e.g., MySQL, PostgreSQL, Oracle, MongoDB)
Module 02: Relational Database Concepts
4
2.0
Understanding tables, rows, and columns
2.1
Primary keys, foreign keys, and relationships
2.2
Normalization and denormalization
2.3
Indexing and its importance
Module 03: Database Design and Modeling
4
3.0
Entity-Relationship Diagrams (ERD)
3.1
Data modeling techniques
3.2
Normalization techniques
3.3
Case studies and practical exercises in designing databases
Module 04: SQL Fundamentals
4
4.0
Introduction to SQL (Structured Query Language)
4.1
CRUD operations (Create, Read, Update, Delete)
4.2
Data types, constraints, and transactions
4.3
Advanced SQL queries and subqueries
Module 05: Database Installation and Configuration
3
5.0
Installation and setup of popular DBMS systems
5.1
Configuration best practices
5.2
Security considerations during installation
Module 06: Database Security and Authorization
4
6.0
User authentication and authorization
6.1
Role-based access control
6.2
Encryption and data masking
6.3
Auditing and monitoring
Module 07: Backup and Recovery Strategies
4
7.0
Importance of data backup
7.1
Different backup strategies (full, incremental, differential)
7.2
Recovery procedures and testing
7.3
Disaster recovery planning
Module 08: Performance Tuning and Optimization
4
8.0
Identifying and resolving performance bottlenecks
8.1
Query optimization techniques
8.2
Index optimization
8.3
Monitoring tools and best practices
Module 09: High Availability and Scalability
4
9.0
Clustering and replication
9.1
Load balancing
9.2
Sharding and partitioning
9.3
Cloud-based database solutions
Module 10: Database Maintenance and Automation
3
10.0
Regular maintenance tasks
10.1
Automated backup and optimization
10.2
Job scheduling and automation tools
Module 11: Data Migration and Upgrades
3
11.0
Planning and executing data migration
11.1
Version upgrades and patch management
11.2
Tools and best practices for data migration
Module 12: Project Work and Case Studies
4
12.0
Real-world projects and case studies
12.1
Applying learned concepts to solve practical problems
12.2
Group projects to simulate real-world scenarios
12.3
Final Quiz
10 Minutes
0 Questions
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