Basi di dati: dalla progettazione database al linguaggio SQL

Database Management Fundamentals: A Comprehensive Course

Unlock the power of database management with this foundational course! This course provides a clear path from initial database design, tailored to client needs, to mastering complex SQL queries. Discover a highly sought-after skill essential across all industries. You'll gain the knowledge to excel in a dynamic field, potentially leading to opportunities with major international companies that leverage data as a core business asset.

This course equips you with the theoretical and practical groundwork for managing databases in increasingly complex environments. Learn to utilize industry-standard software like MySQL, AWS, and Microsoft Access, alongside other relational database tools, for data analysis and management.

Course Highlights: What You'll Learn

• Data & Information Foundations: Explore the core concepts of data and information, and how they relate to information systems.
• Database Systems & Lifecycle: Understand databases, DBMS (Database Management Systems), and the complete database lifecycle.
• Conceptual & Logical Modeling: Master conceptual data modeling and logical data modeling techniques, including:
  • Entities & Relationships: Define entities, relationships (or associations), and their various types.
  • Attributes: Learn about elemental and composite attributes, cardinality, and primary identifiers.
  • Cardinality & Identification: Understand cardinality of attributes, primary identifiers, and foreign keys.
  • Inheritance & Generalization: Explore inheritance and generalization in database design.
• Relational Database Modeling: Dive into relational database modeling, including:
  • Relational Algebra: Understand the mathematical principles behind relational databases.
  • Domains & Tables: Learn about domains and tables in database design.
  • Data Integrity: Implement data integrity constraints and manage incomplete information.
  • Boolean Functions & Integrity Rules: Utilize boolean functions and integrity constraints to ensure data accuracy.
  • Tuple Identification & Keys: Identify tuples and primary keys, and understand the importance of key existence.
  • Referential Integrity: Implement referential integrity constraints and schema restructuring.
• Database Schema Optimization:
  • Indexing & Performance: Learn about indexing and the Pareto Principle (80/20 rule) for performance optimization.
  • Redundancy Analysis: Analyze and eliminate data redundancy in attributes and relationships.
  • Schema Partitioning & Aggregation: Implement schema partitioning and aggregation techniques.
  • Key Selection: Learn how to choose the right primary keys.
• Relational Database Concepts: Gain a solid understanding of many-to-many, one-to-many, and one-to-one relationships in relational databases.
• SQL Language Mastery: Become proficient in SQL (Structured Query Language):
  • Data Definition & Manipulation: Learn Data Definition Language (DDL) and Data Manipulation Language (DML).
  • Relational Algebra Operators: Master fundamental algebraic operators (union, intersection, difference).
  • Selection, Projection & Cardinality: Utilize selection, projection, and understand cardinality.
  • Join Operations: Implement various join types (natural join, theta-join, equi-join, outer joins).
  • NULL Value Handling: Effectively manage NULL values in SQL.
  • Aggregate Functions: Use aggregate functions (COUNT, SUM, AVG, MAX, MIN) and GROUP BY clauses.
  • Subqueries & Venn Diagrams: Work with nested queries and understand set operators.
  • Views & Constraints: Create views and implement constraints (NOT NULL, UNIQUE, PRIMARY KEY, CHECK).
  • Data Modification: Perform insert, delete, and update operations.

This course provides a comprehensive foundation for a successful career in database administration, data analysis, and data engineering.