With our TEDAMOH Academy we offer various seminars, trainings and workshops as well as certifications to support and expand continuous learning in everyday work.
You can either expand your theoretical knowledge by attending a seminar or training or acquire knowledge yourself in practice-oriented workshops. To learn a theory or methodology, such as how to handle temporal data, or to obtain certification in data modeling, it is best to visit our training section.
Data modeling with Data Vault - Special on data modeling by Dirk | Reporting Summit 2025

Conference: Reporting Summit 2025
Date: October 16, 2025 - Time: 6:30 p.m.
Location: metafinanz, Munich, Germany
Presentation: Data modeling with Data Vault - Special on data modeling
Speaker: Dirk Lerner
Data Vault is a modern modeling method for data solutions that enables scalability, flexibility, and traceability. This session teaches the basics of Data Vault. Perfect for beginners who want to design future-proof data-driven solutions and make the most of their data's potential.
Data Engine Thinking: Future-proof data solutions at data2day 2025 | Presentation by Dirk Lerner

Conference: data2day
Date: November 4, 2025 - Time: 11:15 a.m.
Location: IHK Karlsruhe, Germany
Presentation: Data Engine Thinking: Future-proof data solutions
Speaker: Dirk Lerner
Data tells stories – if you understand it in the right context. Often, however, it remains just “ stuff” that we cannot use meaningfully. Data Engine Thinking wants to change that: It is about developing data solutions that are flexible, robust, and adaptable – just like the requirements that challenge companies every day.
Bitemporality as a fundamental principle: The Data Engine Thinking approach | DOAG, with Dirk Lerner

Conference: DOAG 2025
Date: November 19, 2025 - Time: 10:00 a.m.
Location: Nuremberg Convention Center (NCC), Germany
Presentation: Bitemporality as a fundamental principle: The Data Engine Thinking approach
Speaker: Dirk Lerner
Temporal data is essential for modern data solutions. This session demonstrates how Data Engine Thinking facilitates the implementation of bitemporal data—not only as a technical feature, but as an integral part of the Data Engine approach.
Data Vault End-Dating Satellites at the Link: Variants, Options, and Data Engine Thinking | Dirk at the DDVUG Fall Conference 2025

Conference: DDVUG Herbsttagung 2025
Date: November 27, 2025 - Time: 11:00 a.m.
Location: Novotel Hannover, Germany
Presentation: Data Vault End-Dating Satellites on a Link: Variants, Options, and Data Engine Thinking
Speaker: Dirk Lerner
Data Vault End-Dating Satellites on a Link pose a particular challenge in data modeling. This presentation introduces various variants and options for the physical implementation of such structures and uses concrete examples to show how complexity can be significantly reduced during loading.
DMC - Preparation course

This package allows you to book all online self-study courses and the Data Modeling Certification (DMC) exam.
You can join the online self-study courses at any time. You can learn at your own pace and according to your time constraints, without being bound to fixed dates.

DMC - Preparation course

This package allows you to book all online self-study courses and the Data Modeling Certification (DMC) exam.
You can join the online self-study courses at any time. You can learn at your own pace and according to your time constraints, without being bound to fixed dates.

Data Modeling Master Class - German
DMC - Preparation course

This package allows you to book all online self-study courses and the Data Modeling Certification (DMC) exam.
You can join the online self-study courses at any time. You can learn at your own pace and according to your time constraints, without being bound to fixed dates.

DMC - Preparation course

This package allows you to book all online self-study courses and the Data Modeling Certification (DMC) exam.
You can join the online self-study courses at any time. You can learn at your own pace and according to your time constraints, without being bound to fixed dates.
