Database Architect
Study Program Courses

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.

Learning Details and Options

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Key Areas of Focus

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

Assessment & Project Types

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.

Learning Outcomes

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

  1. Design robust and scalable database architectures for relational and non-relational database systems that meet business requirements.
  2. Utilize advanced SQL and NoSQL techniques to query, manage, and optimize databases effectively.
  3. Implement data security measures to protect sensitive information and ensure database integrity.
  4. Optimize database performance, employing techniques such as indexing, caching, and partitioning to ensure efficient data retrieval and storage.
  5. Develop and manage cloud-based databases, understanding the infrastructure and services provided by major cloud providers like AWS, Azure, and Google Cloud.
  6. Ensure data governance and compliance, adhering to regulatory standards and best practices for data management and retention.
  7. 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
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