Data modeling is experiencing a renaissance and must be newly integrated in digital and data-driven teams. Here we learn the basics, background and procedures of data modeling in classic and modern environments and understand the requirements of how these can be maintained, updated and optimized in distributed teams.
Our data modeling boot camp is a lively experience.
You will learn the basics, background and procedures of data modeling without having to become an expert yourself.
This seminar is aimed at executives, project managers and employees from business departments and data management who want to understand how and where data modeling is used and how it can be integrated into existing structures.
We will highlight current challenges and show best practices to deal with them – both in classical modeling and new requirements (e.g. cloud-based applications, data vaults, graph databases, etc.).
You get the opportunity to experiment with common modeling tools.
In most cases, the understanding of requirements and interrelationships in the 3 core levels only opens up when you operate such solutions yourself:
See what you will learn and experience in this seminar
Every participant will receive a certificate upon completion of the seminar. Certificates are available in German and in English. Click to enlare.
Basics
Levels
The data modeling process
Data Model Management
Organizational interaction with other data management disciplines
Technology and Modeling Tools
All prices per person plus VAT.
For in-house team seminars with individual content, we will be happy to make you a suitable offer.
Let us know your preferred training period, and we will contact you to discuss the next steps.
Please provide your name and contact information, and our team will be in touch shortly to explore how we can support your team.
2-day seminar
Free Webinar
The What and Why of Data Governance
By Frank Poerschmann, iDIGMA GmbH
Date and time: TBA
1-2 day seminar
1-day workshop
iDIGMA GmbH
Am Sandtorkai 75, 20457 Hamburg
Tel. +49 (0)40 55 44 65 22
School of Data Governance
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