Rick F. van der Lans is an independent analyst, consultant, speaker, and author. He specializes in Data Warehousing, Business Intelligence, Big Data, Analytics, and Database Technology



+31 252-514080






 August 5-10, 2018: TDWI Conference, Anaheim, by TDWI

 October 1-2, 2018: Global Data Summit, Denver, Colorado, by Global Data Summit

 October 16, 2018: The Logical Data Warehouse: Design, Architecture, and Technology, Helsinki, Finland by AriHovi

 November, 11-16, 2018: TDWI Conference, Orlando, by TDWI

 November 19-22, 2018: European Business Intelligence and Analytics Conference, London, by IRM UK


Oktober 24-25, 2018: Het Logische Datawarehouse: Architectuur, Ontwerp en Technologie, Brussel, IT Works

Oktober 30-31, 2018: Het Logische Datawarehouse: Architectuur, Ontwerp en Technologie, Utrecht, Adept Events

November 7-8, 2018: Business Intelligence and Data Warehousing Fundamentals, Utrecht, Adept Events

November 28-29, 2018: Big Data Technologie voor Business Intelligence en Datawarehousing, Utrecht, Adept Events


 Architecting the Multi-Purpose Data Lake With Data Virtualization, April 2018

 The Next Wave of Analytics - At the Edge, December 2017

Data Virtualization in the Time of Big Data, December 2017

Developing a Bi-Modal Logical Data Warehouse Architecture Using Data Virtualization, September 2016

Designing a Logical Data Warehouse, February 2016

Designing a Data Virtualization Environment; A Step-By-Step Approach, January 2016


Are You Killing the Benefits of Your Data Lake?, May 2018

Podcast: Bi-modal and Data Virtualization, May 2018

SQL niet geschikt voor Big Data? Toch wel! - Dutch

Heeft het logical data lake de toekomst? - Dutch

The Next-Gen Analytics Stack for Insights-Driven Organizations

Data Quality and Governance in a Data-Obsessed World

The Five Big Myths of Big Data at the Big Data Expo in The Netherlands

The Five Big Myths of Big Data

Big Data and the Dutch Tax Office (in Dutch)

 Part 6: A Unified Data Delivery Platform - A Summary, June 2018 

 Part 5: Requirements for a Unified Data Delivery Platform , June 2018 

 Part 4: Big Data is Not the Biggest Change in IT, June 2018 

 Part 3: How Siloed Data Delivery Systems Were Born, June 2018 

 Part 2: Key Benefits of a Unified Data Delivery Platform, June 2018 

 Part 1: Drowning in Data Delivery Systems, May 2018 

 Data Virtualization or SQL-on-Hadoop for Logical Data Architectures?, April 2018 

 Simplifying Big Data Integration with Data Virtualization, October 2017

 Data Virtualization for Developing Customer-Facing Apps, August 2017

 Do Data Scientists Really Ask for Physical Data Lakes, May 2017

 Do We Really Deploy ETL in Our Data Warehouse Architectures, April 2017

 Challenges for Developing Data Lakes, March 2017

 Automated Migration of ETL Solutions, March 2017

 What Do You Mean, SQL Can't Do Big Data?, March 2017

 Are Analytical SQL Servers Becoming Cheaper?, February 2017

 OLAP-on-Hadoop on the Rise, February 2017

 When to Use NoSQL, January 2017

 The Big BI Dilemma, November 2016


 Self service analytics het grote BI dilemma, Oktober 2017 

 Uitdagingen voor het ontwikkelen van data lakes, April 2017 

 Wanneer is NoSQL nuttig?, Februari 2017 

 OLAP-on-Hadoop in opkomst, Februari 2017 

 De noodzaak voor flexibele, bi-modal datawarehouse-architecturen, December 2016

 Datavirtualisatie is NIET hetzelfde als datafederatie, December 2016

 De oorsprong van de logische datawarehouse architectuur, December 2016

 Data strategie is de puzzel, Februari 2016







He is the author of a series of articles on the Data Delivery Platform, a new and flexible architecture for developing business intelligence systems.