DATA-MODEL.AO1
Data Modeling
Learn the fundamentals of Data Modeling and take your career to new heights.
- Practice in 21 Laboratorios prácticos — nothing to install
- 13 Lecciones interactivas y 46 topics mapped to the official exam objectives
- 315 Preguntas del examen de práctica
Intermediate A tu propio ritmo · 1 año de acceso 4.6/5 (77 Revisar)
21 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
13Lecciones interactivas
46Topics
21Laboratorio en vivo
315Preguntas del examen de práctica
107Tarjetas didácticas
107Glosario de términos
01 / Habilidades que obtendrás
What you will be able to do
Try Free →
No se requiere tarjeta de crédito
It is a comprehensive Data Modeling course that focuses on data-centric design principles, relational modeling components, and the process of creating conceptual, logical, and physical data models. You’ll learn how to create various data models using diagramming alternatives like flowcharts, data flow diagrams, and fishbone diagrams. Discover the components of a relational database model, including conceptual, logical, and physical models. By the end of this online Data Modeling training course, you’ll have the essential skills and expertise to design and implement effective data structures for various applications.
- Knowledge of data-centric design principles
- Create various data models: conceptual, logical, and physical
- Expertise in using diagramming techniques
- Knowledge of relational database models
- Handling temporal data
- Apply normalization techniques
- Understanding of Unified Data Model (UNL)
- Understanding of enterprise data modeling
Course Highlights
-
13 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
-
21 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
-
315 Preguntas de práctica Pruebas de evaluación con justificaciones de respuesta detalladas
-
1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
13 Lecciones interactivas · 46 topics01 Introduction 2 topics +
- Who Should Read This Course
- What the Course Covers
02 Introduction to Data Modeling 6 topics · 3 Laboratorio en vivo +
- Data-Centric Design
- Anatomy of a Data Model
- Importance of Data Modeling
- Measures of a Good Data Model
- How Data Models Fit Into Application Development
- Data Modeling Participants
3 Laboratorio en vivo in this lesson — see the labs panel →
03 Relational Model Components 2 topics · 1 Laboratorio en vivo +
- Conceptual and Logical Model Components
- Physical Model Components
1 Laboratorio en vivo in this lesson — see the labs panel →
04 Data and Process Modeling 4 topics · 1 Laboratorio en vivo +
- Data Model Diagramming Alternatives
- Process Models
- Unified Modeling Language (UML)
- Relating Entities and Processes
1 Laboratorio en vivo in this lesson — see the labs panel →
05 Organizing Database Project Work 3 topics · 3 Laboratorio en vivo +
- The Traditional Life Cycle
- Nontraditional Life Cycles
- The Project Triangle
3 Laboratorio en vivo in this lesson — see the labs panel →
06 Conceptual Data Modeling 3 topics · 1 Laboratorio en vivo +
- The Conceptual Modeling Process
- Creating the Model
- Evaluating the Model
1 Laboratorio en vivo in this lesson — see the labs panel →
07 Logical Database Design Using Normalization 4 topics · 3 Laboratorio en vivo +
- The Need for Normalization
- Applying the Normalization Process
- Denormalization
- Practice Problems
3 Laboratorio en vivo in this lesson — see the labs panel →
08 Beyond Third Normal Form 4 topics · 2 Laboratorio en vivo +
- Advanced Normalization
- Resolving Supertypes and Subtypes
- Generalizing Attributes
- Alternatives for Reference Data
2 Laboratorio en vivo in this lesson — see the labs panel →
09 Physical Database Design 5 topics · 3 Laboratorio en vivo +
- The Physical Design Process
- Designing Tables
- Integrating Business Rules and Data Integrity
- Adding Indexes for Performance
- Designing Views
3 Laboratorio en vivo in this lesson — see the labs panel →
10 Alternatives for Incorporating Business Rules 4 topics · 1 Laboratorio en vivo +
- The Anatomy of a Business Rule
- Implementing Business Rules in Data Models
- Limitations on Implementing Business Rules in Data Models
- Functional Classification of Business Rules
1 Laboratorio en vivo in this lesson — see the labs panel →
11 Alternatives for Handling Temporal Data 3 topics · 1 Laboratorio en vivo +
- Temporal Data Structures
- Calendar Data Structures
- Business Rules for Temporal Data
1 Laboratorio en vivo in this lesson — see the labs panel →
12 Modeling for Analytical Databases 4 topics · 1 Laboratorio en vivo +
- Data Warehouses
- Data Marts
- Modeling Analytical Data Structures
- Loading Data into Analytical Databases
1 Laboratorio en vivo in this lesson — see the labs panel →
13 Enterprise Data Modeling 2 topics · 1 Laboratorio en vivo +
- Enterprise Data Management
- The Enterprise Data Model
1 Laboratorio en vivo in this lesson — see the labs panel →
Laboratorios prácticos Our edge
21 Laboratorio en vivos- Creating a Conceptual Model
- Creating a Physical Data Model
- Creating a Logical Data Model
- Modifying a Conceptual Model
- Drawing of a Conceptual Model with Nested Subtypes
- Discussing the Traditional Life Cycle and Requirements Gathering
- Testing the Knowledge of Project Database Management Tasks
- Discussing Nontraditional Life Cycles and the Project Triangle
- Creating a Conceptual Model for the Employee Management System
- Creating a Data Model in Second Normal Form
- Creating a Data Model in First Normal Form
- Analyzing Normalization in Academic Tracking Database
- Creating a Data Model in Fourth Normal Form
- Creating a Complex Logical Data Model
- Converting a Logical Data Model into a Physical Data Model
- Creating a Physical Data Model ERD
- Creating a Data Model in Third Normal Form
- Modeling Business Rules in a Logical Data Model
- Adding History to Data Models
- Designing a Star Schema Fact Table
- Developing an Enterprise Conceptual Model
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
What is this Data Modeling online course about?+
It is an intermediary level course that focuses on design and implementation of effective data structure models for various applications.
What are the various data modeling techniques I will learn here?+
This Data Modeling Certification course introduces you to an array of modeling techniques including:
- Entity-Relationship (ER) Modeling
- Data Flow Diagrams (DFDs)
- Unified Modeling Language (UML)
- Normalization & Denormalization Processes
- Data Warehousing & Data Marts
- Enterprise Data Modeling
Will I get a certification on completing this data modeling course?+
Yes, you’ll be awarded a certificate of completion.
What kind of resources are available for learning data modeling?+
There’s plenty of interactive study material available with this course including hands-on Labs, video lessons, gamified test-prets, glossary, flashcards, quizzes, and pre and post assessments.
Will there be any exams with this Data Modeling course?+
Yes, there are pre and post assessments included with the course.
How will I practice Data Modeling concepts?+
No need to worry about your practice. This course is fully equipped with hands-on-Labs that enables you to practice your learning in a safe environment.
Explore The Fascinating World Of Data Modeling!
Gain the practical skills and knowledge required for creating functional Data Models.
- 1 año de acceso completo
- 21 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito