Information and Data Modelling for the Enterprise Training in Germany

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 3 Days
  • Level: Intermediate
  • Price: From €3,393+VAT
We can host this training at your preferred location. Contact us!

One of the more important strategic assets a modern enterprise needs to manage effectively is its data and information, yet in many businesses the management of this asset is left up to individual business functions, using their own Information Systems, with little overall governance. This is a legacy problem that needs to be fixed. To be successful in today’s competitive and highly regulated environment it is essential to develop an enterprise-wide view of data and information, covering the definition of the concepts about which data and information is held, and the lifecycle of the related data entities as they are manipulated by business operations. It also increasingly important, and frequently essential, to be able to analyse business transactions over time, using Business Intelligence techniques, to inform decision makers about the progress of the business towards its strategic goals, and discover new insights into fresh opportunities. The function that oversees this corporate activity and provides advice to the business in terms of expertise, tools and best practices is known as Information and Data Management. Within this function there is a requirement to conduct a certain amount of modelling activity, which contributes to the solution of data-related problems.

This course situates Information and Data Modelling within the Data Management Function, and teaches and demonstrates the main techniques useful to the modeller in deriving the required Information and Data structures, in accordance with recognised best practices. The techniques discussed are valuable for both the OLTP (transactional) and OLAP (business intelligence) data environments. The course makes use of industry standard notations wherever applicable, focussing on the use of UML.

There are no prerequisites for this course.

Target audience

Anyone who has an interest in understanding how data is managed within an organisation and how it flows through business processes.

  • Able to justify the need for modelling within the Information and Data Management functions
  • Understanding of the fundamentals of data modelling
  • Able to develop a Conceptual Data Model
  • Able to develop a Logical Data Model
  • Apply a range of techniques to validate data models against business requirements
  • Understanding of the need for metadata and how this might be organised
  • Apply the normalisation technique as a way of analysing and designing attributes, and as a way of validating data models
  • Rationalise and integrate the bottom-up view of data with the top-down view of information
  • Understanding of the need for a Corporate (Enterprise) Data Model and some of the options and issues involved
  • Able to approach the design of schemas for BI applications based on OLAP databases
  • Able to approach the design of schemas for physical databases
  • Appreciation of the role of Big Data and NoSQL in a modern data environment
  • Understanding of data as it relates to the XML messaging environment

  • Introduction to Information and Data Modelling for the Enterprise
  • Basic Data Modelling concepts
  • Developing a conceptual model of information
  • Moving from the conceptual information model to the logical data model
  • Metadata and documenting attributes
  • Normalisation technique to 3NF
  • Corporate Data Modelling
  • Modelling for OLAP and BI/DW, including the Star Schema
  • Final Topics, which include: normal forms beyond 3NF, Big Data, Messaging, Physical Modelling, alternative modelling notations, data and process.


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.

Classroom / Virtual Classroom
25 November 2024
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
25 November 2024
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
15 Januar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
10 Februar 2025
Berlin, Hamburg, Münih
€3,393 +VAT Book Now
Classroom / Virtual Classroom
15 Januar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
12 Februar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
17 Februar 2025
Berlin, Hamburg, Münih
3 Days
Classroom / Virtual Classroom
10 Februar 2025
Berlin, Hamburg, Münih
€3,393 +VAT Book Now

Related Trainings

Information and Data Modelling for the Enterprise 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.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.