Who It's For

  • New managers of BI or Data Warehouse departments
  • Developers starting in BI projects
  • Those who want to understand how the data warehouse and business intelligence operates
  • BI Developers who want to improve their knowledge of BI developments
  • Business representatives  involved in BI projects and need to understand the terminology
  • Managers and IT Architects who need to understand the value of data warehousing and business intelligence


Rick van der Lans

Independent Analyst, Consultant, Author and Lecturer


Rick van der Lans is a highly respected independent analyst, consultant, author, and internationally acclaimed lecturer specialising in data architectures, data warehousing, business intelligence, big data, and database technology. In 2018 he was selected the sixth most influential BI analyst worldwide by onalytica.com. He has presented countless seminars, webinars, and keynotes at industry-leading conferences. For many years, he served as the chairman of the annual European Enterprise Data and Business Intelligence Conference in London and the annual Data Warehousing and Business Intelligence Summit in The Netherlands. Rick helps clients worldwide to design their data warehouse, big data, and business intelligence architectures and solutions and assists them with selecting the right products. He has been influential in introducing the new logical data warehouse architecture worldwide, which helps organisations to develop more agile business intelligence systems. Over the years, Rick has written hundreds of articles and blogs for newspapers and websites and has authored many educational and popular white papers for a long list of vendors. He was the author of the first available book on SQL, Introduction to SQL, which has been translated into several languages with more than 100,000 copies sold. Recently published books are Data Virtualisation for Business Intelligence Systems and Data Virtualization: Selected Writings  He presents seminars, keynotes, and in-house sessions on data architectures, big data and analytics, data virtualization, the logical data warehouse, data warehousing, and business intelligence.