Designing Data Architectures That Adapt as You Evolve. Live Panel Webinar. Thursday, 21 May 2026, 4PM CEST

courses.

Modern Data Architecture

This course focuses on how modern data architectures enable integrated analytics, data engineering, and AI at scale. It covers architectures such as Lakehouse, Data Mesh and Data Fabric, and shows how to design, implement, and evolve a future-ready data platform.

Data Catalogs

This course provides a comprehensive deep dive into data catalogs and their role in modern data governance, data engineering, and AI. It shows how catalogs support reusable data products, data marketplaces, and enterprise knowledge graphs for AI-driven use cases.

Training Services

Our trainers deliver intuitive, unrivalled instructional services to you, in person or on-line. From one of our venues in Amsterdam, Brussels or Stockholm, virtually, or at your site, our training experts teach you to maximize your data and analytics investments for amazing gains. After all, knowledge is currency in business.

Integrating AI and Analytics in the Data-Driven Enterprise

Learn how to architect and integrate AI agents, machine learning, and analytics to enable real-time decision-making and improve business performance. Discover how event-driven data and AI-driven automation can turn analytics into action across your organization.

Dimensional Modeling

Don’t miss the opportunity to learn key techniques for developing your dimensional model. This course covers everything from the basics to advanced practices, giving you practical skills to design effective data models.

Implementing Data Products in a Data Mesh

Learn about the emergence of Data Mesh and its introduction of Data Products as a potential way to accelerate the creation of data for use in multiple analytical workloads. Delve into the key components for speeding up the development of Data Products, and uncover the initial steps to build your Data Product strategy.

Building a Data and AI Strategy

Learn how to build a data and AI strategy for a data-driven enterprise that delivers business value while improving data and AI governance.

AI-Assisted Active Data Governance

Learn how to set up an AI-driven enterprise data governance program to systematically govern data and content across your distributed data ecosystem. Leverage a data governance framework and key technologies like data catalogs, automated data discovery, automated data classification, machine learning, Generative AI, AI-agents, decision automation, data marketplaces and workflow.

Migrating to a Cloud Data Warehouse

Learn how to migrate a data warehouse schema, data and ETL jobs and security while minimizing the impact on business users. Should you migrate an existing data warehouse ‘as is’ or try to make changes during migration? This course details what is involved in migrating data warehouses and data marts to cloud-based analytical relational databases.

Data Warehouse Modernization

Learn the tools and techniques needed to capture new data types, establish a data pipeline to produce re-usable data assets, modernize your data warehouse and bring together data and analytics.

Modern Data Architecture

This course focuses on how modern data architectures enable integrated analytics, data engineering, and AI at scale. It covers architectures such as Lakehouse, Data Mesh and Data Fabric, and shows how to design, implement, and evolve a future-ready data platform.

Integrating AI and Analytics in the Data-Driven Enterprise

Learn how to architect and integrate AI agents, machine learning, and analytics to enable real-time decision-making and improve business performance. Discover how event-driven data and AI-driven automation can turn analytics into action across your organization.

Building a Data and AI Strategy

Learn how to build a data and AI strategy for a data-driven enterprise that delivers business value while improving data and AI governance.

Migrating to a Cloud Data Warehouse

Learn how to migrate a data warehouse schema, data and ETL jobs and security while minimizing the impact on business users. Should you migrate an existing data warehouse ‘as is’ or try to make changes during migration? This course details what is involved in migrating data warehouses and data marts to cloud-based analytical relational databases.

Data Catalogs

This course provides a comprehensive deep dive into data catalogs and their role in modern data governance, data engineering, and AI. It shows how catalogs support reusable data products, data marketplaces, and enterprise knowledge graphs for AI-driven use cases.

Dimensional Modeling

Don’t miss the opportunity to learn key techniques for developing your dimensional model. This course covers everything from the basics to advanced practices, giving you practical skills to design effective data models.

AI-Assisted Active Data Governance

Learn how to set up an AI-driven enterprise data governance program to systematically govern data and content across your distributed data ecosystem. Leverage a data governance framework and key technologies like data catalogs, automated data discovery, automated data classification, machine learning, Generative AI, AI-agents, decision automation, data marketplaces and workflow.

Data Warehouse Modernization

Learn the tools and techniques needed to capture new data types, establish a data pipeline to produce re-usable data assets, modernize your data warehouse and bring together data and analytics.

Training Services

Our trainers deliver intuitive, unrivalled instructional services to you, in person or on-line. From one of our venues in Amsterdam, Brussels or Stockholm, virtually, or at your site, our training experts teach you to maximize your data and analytics investments for amazing gains. After all, knowledge is currency in business.

Implementing Data Products in a Data Mesh

Learn about the emergence of Data Mesh and its introduction of Data Products as a potential way to accelerate the creation of data for use in multiple analytical workloads. Delve into the key components for speeding up the development of Data Products, and uncover the initial steps to build your Data Product strategy.