TDWI Advanced Data Modeling Techniques, Germany

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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

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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.

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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.

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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.

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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.

TDWI Advanced Data Modeling Techniques Training in Germany

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TDWI Advanced Data Modeling Techniques Training in Germany

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