With our TEDAMOH Academy we offer various seminars, trainings and workshops to support and develop continuous learning in your daily business.
You can either extend you theoretical knowledge by attending a seminar or work in practically oriented workshops to acquire knowledge by yourself. To train the usage of a new software or method, such as dealing with temporal data, it is best to have a closer look at the training area.
Data quality management in the midmarket
Ready for the age of digitization?
In addition to the theoretical basics, Stephan Wund provides a practical insight into the methods of data profiling in the context of data quality management. For the automated derivation of business rules required for this purpose for the continuous and repeated measurement of data quality, he presents rule mining, a method from machine learning.
Data Modeling Master Class - German
Fall 2022
This Master Class is a complete data modelling course, containing five modules of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models.
After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will know not just how to build a data model, but how to build a data model well.
This seminar is taught by us in German language.
DMC - Complete Bundle (2022-Fall)
With this package you book all webinars and the DMC exam in the period September to November 2022 for the package price of 499€ instead of 568€ for an individual booking.
A further booking of the individual webinars as well as the DMC exam is not necessary. You will receive a separate booking confirmation for each webinar. If you book by invoice, you will find the payment instructions in the booking confirmation for this complete package.
If the webinars are fully booked, no booking will take place.
Please note: The webinar series is currently only available in German.
The following webinars and the exam are included:
- DMC (00) - Overview
- DMC (01) - Categoy Syntax
- DMC (02) - Category Components
- DMC (03) - Category Process and Approach
- DMC (04) - Category Conceptual, Logical, and Physical
- DMC (05) - Category Relational and Dimensional
- DMC (06) - Category Notation
- DMC (07) - Category Abstraction
- DMC (08) - Category Standards
- DMC (09) - Category Definitions
- DMC (10) - Category Best practices and pitfalls
- DMC - Exam
DMC (00) - Overview
In this webinar, Dirk provides general information about the Data Modeling Certification (DMC) and the ten categories that the certification exam covers. Learn about the requirements for and benefits of the DMC, and learn more about preparing and registering for the exam. He presents the added value of the free performance assessment answers all your questions about the certification during the webinar.
DMC (01) - Categoy Syntax
In this webinar, you will familiarize yourself with the necessary, basic symbols for data modeling using sample exam questions in order to convert ambiguities into precise information. In the process, you will learn to check the technical assumptions and the representation in the data model. At the same time, practice answering the Syntax category questions, which are very similar to the questions on the Data Modeling Certification (DMC).
DMC (02) - Category Components
In this webinar, you will use sample exam questions to familiarize yourself with the components of a data model, including entities, relationships, attributes, keys, domains, and subtypes.
At the same time, practice answering the component category questions, which are very similar to the questions on the Data Modeling Certification (DMC).
DMC (03) - Category Process and Approach Webinar
In this webinar, you will use sample exam questions to familiarize yourself with the techniques for eliciting data modeling requirements and validating a data model.
At the same time, practice answering the Process and Procedure category questions, which are very similar to the questions on the Data Modeling Certification (DMC).
DMC (04) - Category Conceptual, Logical, and Physical
In this webinar, you will use sample exam questions to familiarize yourself with the purpose and characteristics of conceptual, logical, and physical data models.
At the same time, practice answering the questions for the Conceptual, Logical, and Physical category, which are very similar to the questions on the Data Modeling Certification (DMC).
DMC (05) - Category Relational and Dimensional
In this webinar, you will learn to distinguish between relational and dimensional data using sample exam questions, as well as the use cases for both variants.
At the same time, practice answering the Relational and Dimensional category questions, which are very similar to the questions on the Data Modeling Certification (DMC).
DMC (06) - Category Notation
In this webinar, you will learn to represent various notations business concepts using sample exam questions. Notations discussed include Information Engineering (IE), Unified Modeling Language (UML), and fact-based notations such as Fully Communication Oriented Information Modeling (FCO-IM) and Object-Role Modeling (ORM).
Use it to simultaneously practice answering the Notation category questions, which are very similar to the questions on the Data Modeling Certification (DMC).