Mega-Ique Digital UG

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Relational Database Bootcamp

Relational Database Bootcamp

1.200,00 

Master the essentials of relational databases with our intensive Relational Database Bootcamp.

Explore fundamental concepts, SQL querying, database design, and data management techniques. Gain hands-on experience and practical skills to efficiently work with relational databases, setting a solid foundation for effective data handling and management.

At the end of this course, you will complete a final assignment in which you will apply the knowledge you have gained from this course and demonstrate that you are able to: design a database for a specific analysis requirement, normalize tables, create tables and views in the database create, load and access data.

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Description

Join our Relational Database Bootcamp to immerse yourself in a comprehensive training program tailored for database enthusiasts. Dive deep into fundamental concepts, SQL querying, database modeling, and proficient data management strategies. With hands-on exercises and real-world scenarios, this bootcamp equips you with the skills needed to excel in managing and leveraging relational databases effectively.

 

Skills to learn

In a “Relational Database Bootcamp,” you’ll have the opportunity to acquire various essential skills related to relational databases. Some key skills you may learn include:

  1. Installation and configuration: Installation and configuration of a database server (MySQL, postgresql, SQLite)
  2. Database users and management of access rights
  3. Database Fundamentals: Understand the core concepts and principles of relational databases.
  4. SQL Querying: Learn to write SQL queries to retrieve, update, and manipulate data in databases.
  5. Database Design: Master the art of designing efficient and normalized database structures.
  6. Normalization Techniques: Understand normalization principles to optimize database structures.
  7. Data Modeling: Learn to create logical and physical data models for efficient database management.
  8. Indexing and Optimization: Explore techniques to optimize query performance through indexing and other optimization strategies.
  9. Data Manipulation and Transactions: Understand how to handle data manipulation operations and manage transactions effectively.
  10. Database Security: Learn best practices for securing databases, implementing access controls, and ensuring data integrity.
  11. Backup and Recovery: Acquire skills in creating backup strategies and implementing recovery procedures.
  12. Real-world Applications: Apply learned concepts to practical scenarios and case studies to reinforce understanding.
    1. Python Libraries for Database Management
      1. Database First vs Code First

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