TDWI Advanced Data Modeling Techniques Training in Germany

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 2 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

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

Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

25 Januar 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
26 Januar 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
16 Februar 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
25 Januar 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
26 Januar 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
04 März 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
16 Februar 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
14 März 2025 (2 Days)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
TDWI Advanced Data Modeling Techniques Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.

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