Course Overview
CITO103: Database Technologies Overview is a foundational course offered by NGE Institute, designed to provide participants with a comprehensive understanding of database technologies and their role in modern IT ecosystems. This course equips IT professionals and database administrators with the knowledge and skills needed to design, implement, and manage database systems effectively.
Course Description
In CITO103, participants will explore the fundamental concepts of database management systems (DBMS), relational databases, NoSQL databases, and big data platforms. Through a combination of theoretical lectures, practical exercises, and case studies, students will learn about database design principles, data modeling techniques, query optimization, and data integrity. Additionally, the course will cover emerging trends in database technologies, such as distributed databases, cloud databases, and blockchain-based databases.
Learning Outcomes
By the end of the course, participants will be able to:
- Understand the role and importance of database technologies in modern IT environments.
- Design and implement relational and NoSQL databases to meet business requirements.
- Write SQL queries to retrieve, manipulate, and analyze data stored in relational databases.
- Evaluate and select appropriate big data platforms for storing and processing large volumes of data.
- Apply data modeling techniques to design efficient and scalable database schemas.
- Optimize database performance through query tuning, indexing, and caching strategies.
- Implement security measures and compliance standards to protect sensitive data.
Requirements
- Basic understanding of computer and internet usage
- Interest in learning about digital technologies and technology platforms
- No prior technical experience required (suitable for beginners)
- Access to a computer with internet connectivity for online components
- Commitment to participate in hands-on labs and projects
Features
- Covers essential digital technologies including cloud computing, AI, blockchain, IoT, and big data.
- Practical exercises and labs to reinforce theoretical concepts.
- Courses taught by experienced professionals and industry experts.
- Case studies and projects based on current industry practices.
- Available in online, in-person, and hybrid formats to suit different schedules.
Target audiences
- Aspiring IT Professionals
- Current IT Professionals
- Business and Technology Managers
- Entrepreneurs and Start-up Founders
- Students and Graduates
- Consultants and Analysts
- Anyone Interested in Technology
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