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courses.

Modern Data Architecture: Building a Foundation for the Data Driven Enterprise

Learn how a modern data architecture allows you to use a data catalog, data fabric and data observability to build resilient DataOps pipelines to create a data mesh of reusable data products published in a data marketplace.

Dimensional Modeling: The Kimball Approach

Don't miss the opportunity to learn directly from Joy Mundy, co-author with Ralph Kimball and other members of Kimball Group, of many of the popular “Toolkit” books. Learn techniques for developing your dimensional model, from the basics to the most advanced practices.

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.

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.

Embedded Analytics, Intelligent Apps, AI Agents and AI Automation

Learn how you can embed BI, ML and AI-automation into applications and processes to make your company data and AI-driven.

Data Catalogs: Governing & Provisioning Data in a Data Driven Enterprise

Learn about the inner workings and capabilities of data catalogs, along with mastering their utilization for data discovery, classification, and cataloging across multiple data stores both on premises, across multiple clouds, and at the edge.

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 Lifecycle: The Kimball Approach

Learn the essential elements of the popular Kimball approach as described in the bestselling book, The Data Warehouse Lifecycle Toolkit. The course is packed with techniques, guidance, and advice from planning, requirements, and design through architecture, ETL, and operations.

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.

Big Data Architecture and Technology for Analytics

Gain a solid foundation in modern big data technologies like Spark, Hadoop, Flink, Cloud Storage, Data Lakes, and Lakehouses, as well as Analytical SQL, NoSQL databases, and multi-platform analytics. Learn how to design a stronger data and analytics architecture by seamlessly integrating big data, data science, data warehouses, and business intelligence.

Data Warehouse ETL: The Kimball Approach

Joy Mundy, co-author of Ralph Kimball’s best-selling books and former partner of the Kimball Group, will show you how a properly designed ETL system extracts the data from the source systems, enforces data quality and consistency standards, conforms the data so that separate sources can be used together, and finally delivers the data in a presentation-ready format.

Modern Data Architecture: Building a Foundation for the Data Driven Enterprise

Learn how a modern data architecture allows you to use a data catalog, data fabric and data observability to build resilient DataOps pipelines to create a data mesh of reusable data products published in a data marketplace.

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.

Data Catalogs: Governing & Provisioning Data in a Data Driven Enterprise

Learn about the inner workings and capabilities of data catalogs, along with mastering their utilization for data discovery, classification, and cataloging across multiple data stores both on premises, across multiple clouds, and at the edge.

Data Warehouse Lifecycle: The Kimball Approach

Learn the essential elements of the popular Kimball approach as described in the bestselling book, The Data Warehouse Lifecycle Toolkit. The course is packed with techniques, guidance, and advice from planning, requirements, and design through architecture, ETL, and operations.

Big Data Architecture and Technology for Analytics

Gain a solid foundation in modern big data technologies like Spark, Hadoop, Flink, Cloud Storage, Data Lakes, and Lakehouses, as well as Analytical SQL, NoSQL databases, and multi-platform analytics. Learn how to design a stronger data and analytics architecture by seamlessly integrating big data, data science, data warehouses, and business intelligence.

Dimensional Modeling: The Kimball Approach

Don't miss the opportunity to learn directly from Joy Mundy, co-author with Ralph Kimball and other members of Kimball Group, of many of the popular “Toolkit” books. Learn techniques for developing your dimensional model, from the basics to the most advanced practices.

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.

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.

Data Warehouse ETL: The Kimball Approach

Joy Mundy, co-author of Ralph Kimball’s best-selling books and former partner of the Kimball Group, will show you how a properly designed ETL system extracts the data from the source systems, enforces data quality and consistency standards, conforms the data so that separate sources can be used together, and finally delivers the data in a presentation-ready format.

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.

Embedded Analytics, Intelligent Apps, AI Agents and AI Automation

Learn how you can embed BI, ML and AI-automation into applications and processes to make your company data and AI-driven.

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.