University certificate
The world's largest faculty of information technology”
Introduction to the Program
In this Postgraduate certificate, you will learn about one of the most in-demand topics in today's business environment. Enroll now and learn all about databases"

Providing IT solutions for organizations to make efficient and agile decisions, based on a huge amount of data, is part of a thorough job that requires the professional to have specific knowledge about the process of designing, developing and maintaining a database in terms of standards and performance measures.
As data is a valuable asset for business, preserving useful information for a company is fundamental and this requires adequate, manageable and secure systems. That is why, in this Postgraduate certificate in Database Normalization, the protection of data integrity will be addressed and the focus will be on minimizing data redundancy. Reducing the problems of updating them in the tables.
Therefore, students will be able to refactor and deal with the management and coordination of data with the presentation of real cases based on problems, with content selected by the expert teachers who lead this program and who, in addition, accompany the student throughout the learning process through the various multimedia resources available on the TECH Global University platform.
This is possible through TECH modern study system, at the forefront of university education, which implements a 100% online methodology based on Relearning, which facilitates the learning process for the professional. This way, students can balance their daily responsibilities with their studies and graduate in a maximum of 6 weeks, without investing a great deal of time and effort.
In order to obtain software that allows data management in an agile and efficient way, it is necessary to have the knowledge given in this program. Enroll now and qualify in 6 weeks"
This Postgraduate certificate in Database Normalization contains the most complete and up-to-date program on the market. The most important features include:
- Case studies presented by experts in software development
- The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
- Practical exercises where self-assessment can be used to improve learning
- Its special emphasis on innovative methodologies
- Theoretical lessons, questions for experts and individual reflection work
- Content that is accessible from any fixed or portable device with an Internet connection
Create infinite possibilities for your customers by mastering the most efficient data management techniques"
The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.
The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive training programmed to train in real situations.
This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.
You will deepen your understanding of the OLAP system for the improvement and performance of data management processes"

TECH offers students the convenience of online study, with the quality and security of an efficient methodology"
Syllabus
The contents of this Postgraduate certificate are presented in different written and audiovisual formats, through a modern and 100% online methodology, which provides the flexibility that today's professional needs. Therefore, a progressive and natural teaching of the most important terms and concepts on database normalization is guaranteed through TECH Global University study platform, with expert teachers who will accompany you throughout the process in a personalized and group way, being able to share experiences with other professionals in the forums and meeting rooms.

You will have a variety of multimedia resources, meeting rooms, forums and case studies that will enrich your learning process”
Module 1. Database (DB) Design. Standardization and performance. Software Quality
1.1. Database Design
1.1.1. Databases. Typology
1.1.2. Databases Currently Used
1.1.2.1. Relationship
1.1.2.2. Key-Value
1.1.2.3. Based on Graphs
1.1.3. Data Quality
1.2. Entity-Relationship Model Design (I)
1.2.1. Entity-Relationship Model. Quality and Documentation
1.2.2. Entities
1.2.2.1. Strong Entity
1.2.2.2. Weak Entity
1.2.3. Attributes
1.2.4. Set of Relationships
1.2.4.1. 1 to 1
1.2.4.2. 1 to Many
1.2.4.3. Many to 1
1.2.4.4. Many to Many
1.2.5. Keys
1.2.5.1. Primary Key
1.2.5.2. Foreign Key
1.2.5.3. Weak Entity Primary Key
1.2.6. Restrictions
1.2.7. Cardinality
1.2.8. Heritage
1.2.9. Aggregation
1.3. Entity-Relationship Model (II). Tools
1.3.1. Entity-Relationship Model. Tools
1.3.2. Entity-Relationship Model. Practical Example
1.3.3. Feasible Entity-Relationship Model
1.3.3.1. Visual Sample
1.3.3.2. Sample in Table Representation
1.4. Database (DB) Standardization (I). Software Quality Considerations
1.4.1. DB Standardization and Quality
1.4.2. Dependency
1.4.2.1. Functional Dependence
1.4.2.2. Properties of Functional Dependence
1.4.2.3. Deduced Properties
1.4.3. Keys
1.5. Database (DB) Normalization (II). Normal Forms and Codd Rules
1.5.1. Normal Shapes
1.5.1.1. First Normal Form (1FN)
1.5.1.2. Second Normal Form (2FN)
1.5.1.3. Third Normal Form (3FN)
1.5.1.4. Boyce-Codd Normal Form (BCNF)
1.5.1.5. Fourth Normal Form (4FN)
1.5.1.6. Fifth Normal Form (5FN)
1.5.2. Codd’s Rules
1.5.2.1. Rule 1: Information
1.5.2.2. Rule 2: Guaranteed Access
1.5.2.3. Rule 3: Systematic Treatment of Null Values
1.5.2.4. Rule 4: Description of the Database
1.5.2.5. Rule 5: Integral Sublanguage
1.5.2.6. Rule 6: View Update
1.5.2.7. Rule 7: Insert and Update
1.5.2.8. Rule 8: Physical Independence
1.5.2.9. Rule 9: Logical Independence
1.5.2.10. Rule 10: Integrity Independence
1.5.2.10.1. Integrity Rules
1.5.2.11. Rule 11: Distribution
1.5.2.12. Rule 12: Non-Subversion
1.5.3. Practical Example
1.6. Data Warehouse/OLAP System
1.6.1. Data Warehouse
1.6.2. Fact Table
1.6.3. Dimension Table
1.6.4. Creation of the OLAP System. Tools
1.7. Database (DB) Performance
1.7.1. Index Optimization
1.7.2. Query Optimization
1.7.3. Table Partitioning
1.8. Simulation of Real Project for DB Design (I)
1.8.1. Project Overview (Company A)
1.8.2. Application of Database Design
1.8.3. Proposed Exercises
1.8.4. Proposed Exercises Feedback
1.9. Simulation of Real Project for BD Design (II)
1.9.1. Project Overview (Company B)
1.9.2. Application of Database Design
1.9.3. Proposed Exercises
1.9.4. Proposed Exercises Feedback
1.10. Relevance of DB Optimization to Software Quality
1.10.1. Design Optimization
1.10.2. Query Code Optimization
1.10.3. Stored Procedure Code Optimization
1.10.4. Influence of Triggers on Software Quality. Reccomendations for Use

TECH has a method that guarantees the acquisition of professional skills in each educational program. Today, you too can live the experience"
Postgraduate Certificate in Database Normalization
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Database normalization is a process used to organize data in a relational database. Normalization seeks to eliminate data redundancy, ensure consistency and facilitate database maintenance.
Relational data model and its main components
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The normalization process is divided into several stages or forms, the best known being the first normal form (1FN), the second normal form (2FN) and the third normal form (3FN).
The first normal form (1FN) ensures that each record in the database has a unique identifier and that there are no repeating fields. In the second normal form (2FN), partial functional dependencies are removed, meaning that fields in a table should depend only on the primary key of that table. And the third normal form (3FN) ensures that transitive functional dependencies are eliminated, meaning that fields in a table should not depend on fields that are not keys for that table.
Database normalization is important because it allows for better information management, facilitating its use and avoiding errors or inconsistencies in the information. In addition, by reducing data redundancy, you can save space in the database and reduce the cost of storage.
This academic program focuses on providing a solid and comprehensive training in database standardization, combining theory and practice in the design and maintenance of efficient and stable databases. Students will learn about the objectives and normal forms in database normalization, as well as the relationships between tables and referential integrity constraints. In addition, they will be taught how to design relational tables, eliminate redundancies and normalize databases in special situations. At the end of the program, students will be able to design and normalize efficient and stable databases for a variety of applications and work environments.