Course Overview
This course provides an in-depth understanding of the principles and practices involved in designing and managing databases. Participants will learn how to create efficient database structures, optimize data storage, and ensure data integrity and security. The course covers both the theoretical aspects of database design as well as practical skills in database management using industry-standard tools and technologies. By the end of the course, participants will be equipped to handle complex database projects, from initial design to ongoing maintenance and optimization.
Course Duration
10 Days
Who Should Attend
- Aspiring data scientists and analysts.
- Professionals looking to transition into data science roles.
- Researchers and academics interested in data analysis.
- Students in STEM fields seeking to broaden their skills.
- Business professionals who want to leverage data for decision-making.
Course Objectives
By the end of this course, participants will be able to:
- Understand the fundamental concepts of database systems.
- Design and implement efficient and scalable database schemas.
- Utilize SQL for database querying, data manipulation, and reporting.
- Apply normalization techniques to reduce data redundancy and improve data integrity.
- Implement indexing and other optimization strategies to enhance database performance.
- Ensure database security, backup, and recovery processes are in place.
- Manage and maintain databases using industry-standard DBMS tools.
- Understand the roles and responsibilities of a database administrator.
- Develop and manage complex queries and stored procedures.
- Integrate databases with web applications and other software systems
Course Outline:
Module 1: Introduction to Databases
- Database concepts and fundamentals
- Database management systems (DBMS)
- Types of databases (relational, hierarchical, network, object-oriented)
- Database applications and importance
Module 2: Database Design Concepts
- Data modeling and normalization
- Entity-relationship (ER) modeling
- Functional dependencies and normal forms (1NF, 2NF, 3NF)
- Database schema design
Module 3: SQL Fundamentals
- Introduction to SQL
- Data definition language (DDL)
- Data manipulation language (DML)
- Data query language (DQL)
- Data control language (DCL)
Module 4: Advanced SQL
- Joins (inner, outer, self)
- Subqueries
- Views
- Indexes
- Stored procedures and functions
Module 5: Database Normalization
- In-depth exploration of normalization
- Higher normal forms (4NF, BCNF)
- Denormalization techniques
Module 6: Database Performance Tuning
- Indexing techniques
- Query optimization
- Database performance monitoring and troubleshooting
- Database partitioning
Module 7: Database Security and Integrity
- Database security threats and vulnerabilities
- Access control and authentication
- Data encryption and backup
- Database recovery and disaster recovery
Module 8: Database Administration
- Database installation and configuration
- User management and administration
- Database backup and recovery
- Performance monitoring and tuning
Module 9: Database Application Development
- Database connectivity and programming
- Database integration with applications
- Database-driven web applications
Module 10: Emerging Database Technologies
- NoSQL databases
- Big data and Hadoop
- Cloud-based databases
- Database trends and future directions
