Rick van der Lans is a highly-respected independent analyst, consultant, author, and internationally acclaimed lecturer specializing in data warehousing, business intelligence, big data, and database technology.
He has presented countless seminars, webinars, and keynotes at industry-leading conferences. For many years, he has 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 organizations 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, entitled including Introduction to SQL, which has been translated into several languages with more than 100,000 copies sold. More recently, he published his book Data Virtualization for Business Intelligence Systems. In 2018 Rick ranked sixth place as most influential BI-analist worldwide on the Onalytica Influencer List.
“Longer sessions created room for more depth and dialogue. That is what I appreciate about this summit.”
“Inspiring summit with excellent speakers, covering the topics well and from different angles. Organization and venue: very good!”
“Inspiring and well-organized conference. Present-day topics with many practical guidelines, best practices and do's and don'ts regarding information architecture such as big data, data lakes, data virtualisation and a logical data warehouse.”
“A fun event and you learn a lot!”
“Very good, as usual!”
“As a BI Consultant I feel inspired to recommend this conference to everyone looking for practical tools to implement a long term BI Customer Service.”