Learn Database Architecture, Data Modelling, MySQL, PostgreSQL with examples
What you will learn
Relational Databases
Data Modelling
Database Architecture
SQL
MySQL Server & MySQL Workbench
PostgreSQL
Database Normalization & Denormalization
Database optimization
Indexes in Databases
JDBC
DML
DDL
ORM/JPA
Hibernate
Spring Data JPA
Spring JDBC
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- Architect Robust Data Systems: Gain the foundational understanding to design and build scalable, maintainable, and high-performance relational database infrastructures. Make critical architectural decisions to ensure data integrity and support complex application requirements.
- Design Intelligent Data Models: Master conceptualizing and implementing efficient data schemas. Translate real-world entities into optimized database structures, preventing redundancy and ensuring consistent data interaction.
- Command Data with SQL Fluency: Become highly proficient in the universal language of databases. Acquire skills to write complex queries, manage data manipulation, and define database structures across diverse relational systems.
- Practical Mastery of Leading RDBMS: Get hands-on experience with industry-standard open-source databases: MySQL Server (with Workbench) and PostgreSQL. Equip yourself to set up, administer, and develop solutions using popular RDBMS.
- Unlock Peak Database Performance: Dive into advanced techniques for optimizing database speed and responsiveness. Learn to strategically apply indexing and implement best practices for schema design, ensuring efficient applications.
- Seamless Java Data Persistence: Bridge the object-relational impedance mismatch using powerful Java technologies. Abstract away complex database interactions, enabling Java applications to seamlessly store, retrieve, and manage data.
- Accelerate Development with ORM Frameworks: Master cutting-edge Object-Relational Mapping (ORM) frameworks like Hibernate and Spring Data JPA. Interact with databases via intuitive Java objects, reducing boilerplate code and boosting productivity.
- Integrate Databases into Spring Ecosystems: Discover how to expertly connect your Spring-based applications to relational databases. Gain proficiency in both high-level Spring Data JPA and granular Spring JDBC for robust data access solutions.
- PROS:
- Comprehensive Developer Skill Set: Equips developers with full database knowledge, from design and SQL to advanced ORM, making them versatile for data-driven projects.
- Developer-Centric & Practical: Tailored for developers, focusing on real-world implementation, common challenges, and efficient solutions.
- Industry-Relevant Tools: Provides direct experience with leading open-source databases (MySQL, PostgreSQL) and critical Java persistence frameworks (Hibernate, Spring Data JPA).
- Performance Optimization Focus: Emphasizes crucial techniques for database optimization, enabling students to build fast, scalable applications.
- CONS:
- Assumes Basic Java/SQL Familiarity: While comprehensive, the course moves at a pace best suited for developers with at least foundational exposure to Java programming or basic SQL concepts.
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