Database Roadmap

Phase	Main Topic	Content & Learning Activities	Objectives & Deliverables
1. Foundation	General Introduction	Concepts of Data, Information, Database Management System (DBMS). Learn about popular DB models (relational, NoSQL). Compare the advantages of DBMS over file storage.	Understand the core concepts of the database world.
2. Modeling	Data Model	Entity-Relationship Model. Practice drawing ER Diagrams. Relational Model and Relational Algebra. Types of data constraints (primary key, foreign key).	Ability to describe and structure data for a problem.
3. Interaction	Database Language (SQL)	DDL (Data Definition Language): CREATE, ALTER, DROP. DML (Data Manipulation Language): SELECT, INSERT, UPDATE, DELETE. DCL (Data Control Language): GRANT, REVOKE. Learn about T-SQL/PL-SQL.	Master the standard language for interacting with databases.
4. Design	Database Design	Rules for converting from ER Diagram to Relational Model. Normalization forms: 1NF, 2NF, 3NF, BCNF. Practice designing a database for a specific application.	Create an efficient and non-redundant database structure.
5. Programming	Database Programming	Write Stored Procedures. Use Triggers for automation. Create Views to simplify queries. Optimize performance with Indexes.	Build complex business logic within the database.
6. Transactions	Transactions and Concurrency	Concept of Transactions and ACID properties. Concurrency control problems and solutions. Learn about Deadlock and how to handle it.	Ensure data consistency and integrity.
7. Security	Recovery and Data Safety	Recovery techniques after failures (log-based recovery). Backup and Recovery strategies.	Protect data from incidents and loss.
8. Advanced	Distributed & Advanced Databases	Distributed Database Architecture. Data Fragmentation and Replication techniques. Introduction to NoSQL database systems (Key-Value, Document, Graph).	Expand knowledge to modern database systems.
9. Practical	Real-world Applications	Analyze and design databases for management, banking, and e-commerce systems. Understand the role of databases in Big Data and Cloud Computing.	Connect learned knowledge with real software systems.

1. Foundation

General Introduction

Concepts of Data, Information, Database Management System (DBMS).
Learn about popular DB models (relational, NoSQL).
Compare the advantages of DBMS over file storage.

Understand the core concepts of the database world.

2. Modeling

Data Model

Entity-Relationship Model.
Practice drawing ER Diagrams.
Relational Model and Relational Algebra.
Types of data constraints (primary key, foreign key).

Ability to describe and structure data for a problem.

3. Interaction

Database Language (SQL)

DDL (Data Definition Language): CREATE, ALTER, DROP.
DML (Data Manipulation Language): SELECT, INSERT, UPDATE, DELETE.
DCL (Data Control Language): GRANT, REVOKE.
Learn about T-SQL/PL-SQL.

Master the standard language for interacting with databases.

4. Design

Database Design

Rules for converting from ER Diagram to Relational Model.
Normalization forms: 1NF, 2NF, 3NF, BCNF.
Practice designing a database for a specific application.

Create an efficient and non-redundant database structure.

5. Programming

Database Programming

Write Stored Procedures.
Use Triggers for automation.
Create Views to simplify queries.
Optimize performance with Indexes.

Build complex business logic within the database.

6. Transactions

Transactions and Concurrency

Concept of Transactions and ACID properties.
Concurrency control problems and solutions.
Learn about Deadlock and how to handle it.

Ensure data consistency and integrity.

7. Security

Recovery and Data Safety

Recovery techniques after failures (log-based recovery).
Backup and Recovery strategies.

Protect data from incidents and loss.

8. Advanced

Distributed & Advanced Databases

Distributed Database Architecture.
Data Fragmentation and Replication techniques.
Introduction to NoSQL database systems (Key-Value, Document, Graph).

Expand knowledge to modern database systems.

9. Practical

Real-world Applications

Analyze and design databases for management, banking, and e-commerce systems.
Understand the role of databases in Big Data and Cloud Computing.

Connect learned knowledge with real software systems.