Learn from the best trainers in the world

At the heart of digitalisation is the utilisation of data and the competence of staff. Ensure success and learn from trainers who have been responsible for Finland’s and the world’s most demanding digitalisation projects. The trainings are mostly distance trainings.

Showing 17 results.
Data Control / Advanced

Data Vault 2.0 Bootcamp + Certification

CDVP2 is a three day in person course, with one full day (8 hours) of Computer Based Training, or self-paced learning. CDVP2 is the ​​only ​​ sanctioned and authorized Data Vault Certification in the industry.​​​

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Data Control

Business-Oriented Data Modelling Masterclass

This new 3 day interactive workshop combines the core content…

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Data Control

Creating Data Products in a Data Mesh, Data Lake or Lakehouse for Use In Analytics

OVERVIEW Most companies today are storing data and running applications…

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Data Control

Practical Guidelines for Designing New Data Architectures

Practical tips, experiences, guidelines, do’s and don’ts Digital transformation, the…

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Data Control

Centralised Data Governance of a Distributed Data Landscape

OVERVIEW Many businesses today are operating in a distributed computing…

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Data Control

Data Management Fundamentals and DAMA Certification Preparation

This course prepares students to take the all new DAMA CDMP Industry professional certification.

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Data Control

Practical Metadata Management Training Course

A 1-day class covering the considerations, benefits and approaches for…

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Data Quality

Master & Reference Data Management

A 1-day practical class covering the different MDM architectures, genres,…

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Agile Development

SQL basics

The course is one of our most popular courses from…

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Data Control

Data Modeling

This is not just a database design course, but covers…

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Past courses

Advanced Data Modelling 18.01.2021 Educator:
Advanced Data Modelling 16.03.2020 Educator:
Data Vault Meet & Greet 2022 01.06.2022 Educator:
Data Warehouse Modernisation 04.05.2021 Educator:
Practical Data Quality Management 29.11.2021 Educator:
R for data science Educator:
Ten Steps to Quality Data 05.04.2022 Educator: