Growing a Better Data Lake Together

Growing a Better Data Lake Together

Thursday, March 21
2:00 PM - 2:40 PM
Room 124-125

Rabobank is a worldwide food- and agri-bank from the Netherlands. Rabobank wants to make a substantial contribution to welfare and prosperity in the Netherlands and to feeding the world sustainably. Rabobank Group operates through Rabobank and its subsidiaries in 40 countries. Rabobank is moving towards a digital world where we will offer new products and services to our clients and optimize our operational process through Data Science and AI.

After we implemented our first successful launching business cases to production, we continuously deliver new business value. Meanwhile we work on expanding our data environment to enterprise level. To keep this manageable, we needed to increase our maturity level. For this we designed a new enterprise data architecture, are working on a data preparation model, self-service data access and implement a central data catalog.
During our presentation we will explain how we optimize value for our customers. And how we successfully are transforming the Rabobank to a digital convenience bank using big data technologies.

Presentation Video


Edwin Scheepstra
business analyst
Edwin Scheepstra has 15+ years of experience in different roles in the data domain. He developed and designed multiple data warehouses in finance, telco and retail. For 10 years now he has been working at Rabobank as lead business analyst responsible for the data design and functional requirements of several data warehouses. The last 2 years Edwin fulfils that role at the Rabobank data lake, a Hadoop environment serving diverse business domains within Rabobank.
Jeroen Wolffensperger
Solution Architect Data
Solution Architect with more than 15 years experience in DWH and BI and last years also Big Data environments. Designed many data warehouses including a Customer Intelligence System, Marketing Data Warehouse, Enterprise Data Warehouse and Basel II data warehouse. Currently responsible for the architecture of Data Lake, Data Factory and Data Lab based on Cloudera and HortonWorks technology.