TDWI Data Integration Principles and Practices: Creating Information Unity from Data Disparity Training in Germany

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Today’s business managers depend heavily on data analysis and decision-speed information, raising the stakes for data integration. At the same time, the work of integrating data has become increasingly complex. The simple processes of extract, transform, and load (ETL) integration for structured enterprise data no longer meet the need. Unstructured data, big data, departmental data, end-user data, and external data all challenge old models for data integration. Meeting modern data integration challenges calls for data integration strategy and architecture.

Get ready to build reliable and adaptable data integration systems and to make the most of recent advances in data integration technologies by following the path of strategy first, architecture next, and then integration systems and technology.

BI, MDM, and data warehousing program and project managers; data integration architects, designers, and developers; data and technology architects.

  • The role, purpose, and issues of data integration strategy
  • How to fit unstructured data into integration strategy, architecture, and systems
  • How to use integration architecture and patterns to handle large volume data challenges
  • How to apply architecture and patterns for enterprise, departmental, and local data
  • How to select, mix-and-match, and apply several data integration methods including ETL, federated, service-oriented, and virtualized
  • Techniques to collect and manage data integration requirements
  • Tips and techniques for success throughout the data integration lifecycle—strategy, architecture, systems development, and operations

Module 1 - Data Integration Strategy

  • What Is Data Integration Strategy?
    • Strategy Defined
    • Data Integration Strategy Defined
  • Elements of Data Integration Strategy
    • Data Consumers and Data Sources
    • Data Integration Processes
    • Data Stores 
    • Access and Navigation
    • Control Objectives
    • The Big Picture
  • Creating Data Integration Strategy
    • Goals and States
    • Analysis
  • Applied Data Integration Strategy
    • Planning and Projects
    • Data Governance

Module 2 - Data Integration Architecture

  • What Is Data Integration Architecture?
    • Architecture Defined
    • Data Integration Architecture Defined
  • Integration Patterns
    • Methods of Information Sharing
    • Shared Databases and Replication
    • Gateways and Portals
    • Entity Aggregation
    • Data Services
    • Data Services & Messaging
    • Publish and Subscribe, File Transfer
    • Virtualization
    • Virtualization and Federation
  • Architecture Concepts and Components
    • Constructs in Data Integration Architecture
    • Reference Architecture

Module 3 - Creating Data Integration Architecture

  • Data Sources
    • Source Systems
    • Structural Variations
    • Source Data Locations and Technologies
  • Data Flow
    • Data Acquisition
    • TDWI Data Integration Principles and Practices: Creating Information Unity from
    • Data Disparity
    • Data Integration Functions
    • Data Stores
    • Data Integration Methods
    • Data Delivery
    • Metadata Flow
  • Data Consumers
    • People
    • Applications
    • Requirements
  • Architecture Design and Definition
    • Define the End Points
    • Structure the Middle
    • Define Data Access
    • Architecture Validation
  • Data Integration Approaches
    • Many Types and Levels of Integration
    • ETL/ELT
    • Streaming
    • o Virtualization
    • Federation
    • Big Data Integration
    • Self-Service Integration
    • Cloud Integration
    • Hybrid Integration

Module 4 - Using Data Integration Architecture

  • Systems and Data Integration Architecture
    • Existing Systems
    • New Systems
  • Development and Data Integration Architecture
    • Requirements Analysis
    • Design and Construction
    • Testing
  • Management and Data Integration Architecture
    • Management and Governance
    • Change Management
    • Support and Operations
  • Next Steps
    • What Will You Do Next?


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.

04 Januar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
14 Januar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
04 Januar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
14 Januar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
14 Februar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
22 Februar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
04 März 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
05 März 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
TDWI Data Integration Principles and Practices: Creating Information Unity from Data Disparity 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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