Rick van der Lans
Rick van der Lans is a highly-respected independent analyst, consultant, author, and internationally acclaimed lecturer specializing 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.
He also 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. Recently published books are Data Virtualization 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.
March 27-28, 2023 Online live streaming:
Data Virtualization: Technology and Use Cases
May 8-9, 2023 Online live streaming:
Practical Guidelines for Designing Modern Data Architectures
June 12-13, 2023 Online live streaming:
Incorporating Big Data, Hadoop and NoSQL in Data Warehouse and Business Intelligence Systems
June 14, 2023 Online live streaming:
Lean Data Architectures to Minimize Data Copying