Course Summary

The Database Architect course is designed to equip learners with the expertise to design, implement, and manage sophisticated database systems. Focusing on modern databases, data management, and architecture principles, this course prepares individuals for the critical role of planning and building scalable, efficient, and secure database solutions that meet organizational needs. Students will explore both relational and non-relational databases, cloud-based solutions, data governance, and more. By the end of the course, learners will gain the technical and strategic skills needed to excel as database architects in various industries.

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1. Database Design and Modeling

Entity-Relationship Diagrams (ERD)
Normalization & Denormalization
Data Modeling Tools
Database Constraints & Relationships
Schemas & Data Types

2. Relational Databases

SQL and Advanced SQL Querying
Indexing and Performance Tuning
Transactions and Concurrency Control
Database Storage Engines (InnoDB, MyISAM)

3. NoSQL Databases

Introduction to NoSQL Databases (MongoDB, Cassandra)
Document, Key-Value, Column, and Graph Databases
Use Cases & Scenarios for NoSQL
Data Sharding and Partitioning

4. Database Security

Data Encryption and Decryption Techniques
Access Control and Authentication
Database Auditing and Logging
Backup, Recovery, and Disaster Recovery Planning

5. Data Warehousing & Business Intelligence

Designing Data Warehouses
ETL (Extract, Transform, Load) Processes
OLAP (Online Analytical Processing)
Building Dashboards and Reports

6. Cloud Databases and Big Data

Database Solutions in AWS, Azure, Google Cloud
Distributed Databases (Cassandra, HBase)
Hadoop and Big Data Processing
Data Lakes vs Data Warehouses

7. Database Architecture and Performance Optimization

Scaling Databases for High Traffic
Load Balancing Techniques
Database Partitioning
Caching Strategies and Database Clustering

8. Data Governance & Compliance

Data Privacy Laws (GDPR, CCPA)
Ensuring Data Integrity and Accuracy
Archiving and Retention Policies
Regulatory Compliance and Best Practices

1. Quizzes and Exams

Multiple-choice quizzes to assess knowledge of key database concepts
Written exams to test understanding of database architecture and design principles

2. Practical Projects

Database Design Project: Students will design a complex database system, complete with ER diagrams, normalization, and schema creation.
NoSQL Use Case Project: Design and implement a NoSQL database solution for a given business problem, demonstrating the use of key-value or document-based storage.
Performance Tuning Project: Students will optimize an existing database for performance, identifying bottlenecks and applying indexing, sharding, or other techniques.

3. Final Capstone Project

The capstone project requires students to architect a comprehensive database solution for a hypothetical enterprise. The project will involve database design, security implementation, cloud integration, and performance optimization.

By the end of the Database Architect course, students will be able to:

Design robust and scalable database architectures for relational and non-relational database systems that meet business requirements.
Utilize advanced SQL and NoSQL techniques to query, manage, and optimize databases effectively.
Implement data security measures to protect sensitive information and ensure database integrity.
Optimize database performance, employing techniques such as indexing, caching, and partitioning to ensure efficient data retrieval and storage.
Develop and manage cloud-based databases, understanding the infrastructure and services provided by major cloud providers like AWS, Azure, and Google Cloud.
Ensure data governance and compliance, adhering to regulatory standards and best practices for data management and retention.
Architect enterprise-level database solutions, integrating data warehousing, business intelligence, and big data technologies.

Regular & Intensive Learning Option

Class Schedule:
Morning Students – Monday to Thursday, 09:00 am – 03:00 pm
Afternoon Students – Monday to Thursday, 03:30 pm – 08:00 pm
Teaching Method: Online & Offline / Online only (eg. Google meet video call)
Course Duration: 3 sessions (9 months)
Session Length: 1 session = 3 months
DWTA Qualification: Professional Certificate
CTVET’s National TVET Qualification Framework (NTVETQF): National Certificate II
Tuition & Guidance Fees:
- Ghc 2600 per session or
- Ghc 900 per month

Slow-Paced & Relaxed Learning Option

Class Schedule:
Weekend Evening Students – Friday to Sunday, 06:00 pm – 08:00 pm
Teaching Method: Online & Offline / Online only (eg. Google meet video call)
Course Duration: 3 sessions (9 months)
Session Length: 1 session = 3 months
DWTA Qualification: Professional Certificate
CTVET’s National TVET Qualification Framework (NTVETQF): National Certificate II
Tuition & Guidance Fees:
- Ghc 2600 per session or
- Ghc 900 per month

Fill Application Form

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Database Architect