Events on Business Intelligence and Data Warehousing, as well as Big Data, Analytics and Data Visualization.
(Dutch spoken) How do you go from data to insight? Lex Pierik addresses the trends in data visualization, dashboards and graphs, and the role and function of visualization within your organization. You will experience hands-on training in the workshop Data Storytelling.
Dutch spoken
October 17, 2024
Collaborative BI Requirements Analysis & Dimensional Modeling Training A 3-day dimensional modelling course presented internationally by leading data warehousing expert and author Lawrence Corr, covering the latest agile techniques for systematically gathering Business Intelligence (BI) requirements and designing effective DW/BI systems.
English spoken
November 11 - 13, 2024
Organizations need data science, self-service BI, embedded BI, edge analytics, and customer-driven BI. This seminar provides guidelines, roadmaps, design criteria, tips, design rules, use cases, case studies, and practical examples for developing a new future-proof data architecture.
Dutch spoken
November 26-27, 2024
Conference on Data Warehousing & Business Intelligence with top rated speakers Alec Sharp, Jan Henderyckx, Mike Ferguson and others. Topics: Data Architecture, Datamesh Light, Data Engineering & Analytics, Data Governance, Knowledge Graphs, Data modelling. Access to conference recordings.
April 2, 2025
The Logical Data Warehouse, a flexible architecture introduced by Gartner, is based on disconnecting reporting and analysis on the one hand and information sources on the other. Rick van der Lans discusses the architecture, implementation aspects and offers a market overview.
Dutch spoken
Only available as In-house
Look at how machine learning and advanced analytical techniques techniques such as text analyses, sentiment analysis, graph and streaming analytics can be used at scale on Big data to provide new insight that helps foster growth, reduce costs and improve effectiveness for competitive advantage.
English spoken
Only available as In-house