TDWI Advanced Data Modeling Techniques, Malta

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Whether you are a business data modeler who represents data requirements as entities and relationships, or a physical data modeler more concerned with tables, columns, and indexes, you know that the hard stuff lies beneath the surface. Every data design, whether logical or technical, is challenged by one or more complex considerations—scalability, adaptability, performance, legacy and package databases, etc. Every data model raises questions. Advanced modeling techniques provide many of the answers. This course explores different situations facing data modeling practitioners and provides information and techniques to help them develop the appropriate data models.

There are no prerequisites for this course.

Data modelers with some practical experience; data architects; database developers

Enterprise architecture approaches and how to apply them
How big data and analytics impact traditional approaches
Different data models and how they relate to each other
The role of modeling in analytics
Higher normalization forms
How to effectively apply generalization and specialization
The role of metadata management in data governance
State and time dependencies and how to handle them
How to validate the data model
How to transform the business data model into physical models based on the application
The implications of alternative storage approaches
The roles and structures of complementary models
How to deal with multiple time zones and currencies

Module 1: Data Modeling Concepts

Enterprise Architecture
- Definition
- Zachman Framework Overview
- Data Modeling Framework for BI
- Levels of Data Models – Enterprise Perspective
- Levels of Data Models – Project Perspective
- The Open Group Architecture Framework
- Control Objectives for Information Technology
- Frameworks – Discussion
Higher Normal Forms
- Boyce-Codd Normal Form
- Fourth Normal Form
- Fifth Normal Form
- Anchor Modeling
- Data Vault Modeling
Specialization and Generalization
- Roles and Classifications
- Considerations
- Party
Presentation
- Standards

Module 2: Business Data Model Development

Business Data Model Development Approaches
- Top-Down
- Bottom-Up
- Generic Models
- Limited Depth Models
Data Modeling Roles
- Functions, Traits, and Challenges
Business Data Model Application
- Basis for System Data Model
- Transformation and Integration Foundation
- Package Selection
- Business Communications
- Data Profiling
- Data Governance
Data Governance
- Definition
- Quality Improvement
- Real-Time Implications
- Metadata Management
- Information Subject Area
- Big Data
- Big Data Challenges

Module 3: System and Physical Data Model Development

Data Modeling Roles
- Functions, Traits, and Challenges
Globalization / Localization
- Information Needs
- Currencies
- Time Zones
- Languages
Non-Relational Data Structures
- Columnar Databases
- In-Memory Databases
- XML Structures
- Key Value Pairs
Business Analytics
- Definition
- Schema on Read
- Modeling Process

Module 4: Additional Concepts

Recursive Relationships
- Normalized Approach
- Dimensional Approach
Cloud
- Modeling Implications
Complementary Models
- State Transition Model
- Function Models
- Process Models
- Model Management
Model Management
- Model Validation and Testing
- Model Synchronization
- Tool Exploitation
- Data Modeling Tools
- Repositories

Module 5: Summary and Conclusions

Summary of Key Points
- A Quick Review
Appendix A: Bibliography and References
Appendix B: Exercises
- Exercise 1: Normalization to Higher Normal Forms
- Exercise 2: Party Modeling
- Exercise 3: Financial Institution Model
- Exercise 4: Model Application for Data Profiling
- Exercise 5: Application System Model Development
- Exercise 6: Model Evaluation

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

TDWI Advanced Data Modeling Techniques Training Course in Malta

Officially known as the Republic of Malta, is an island country in the Mediterranean Sea, South of Sicily. While Malta being the world's tenth smallest country in area and fourth most densely populated sovereign country, the capital city of the island country is Valletta. Malta consists of three islands: Malta, Gozo, and Comino and Malta is the largest island among all. The official languages of Malta are Maltese and English and based on the data from 2019, the population is about 514,564.

Winter season in Malta is delightfully mild, with temperatures above 12 degrees, so it makes the Maltese Islands a perfect year-round destination. But tourists usually prefer traveling to Malta either in April, May or June. Since in those months, Malta is warm without being too hot. In the early Spring season, travelers may also enjoy the glorious wildflower season.

Enhance your IT skills with our comprehensive array of courses, spanning programming, software development, data science, and project management. Benefit from the convenience of choosing your preferred location in Malta as our experienced instructors deliver interactive training and real-world insights.

TDWI Advanced Data Modeling Techniques Training in Malta

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TDWI Advanced Data Modeling Techniques Training in Malta

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