Events on Business Intelligence and Data Warehousing, as well as Big Data, Analytics and Data Visualization.
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
October 10-11, 2023
(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 31, 2023
Modern Methods for Cloud Data Warehousing The new frameworks Data Mesh, Data Fabric and Data Lakehouse can offer significant benefits for your organization. Barry Devlin explains the concepts, technology and benefits and unravels how the frameworks relate to your current data architecture. Highly practical and interactive seminar.
English spoken
November 1-3, 2023
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 20-22, 2023
Conference on Data Warehousing & Business Intelligence with top rated speakers Alec Sharp, Rick van der Lans, Nigel Turner, Mike Ferguson and others. Topics: Datamesh, Analytics & Data Science, Data Governance, Data modelling. Access to conference recordings.
March 27, 2024
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