Nedbank is one of the four largest banks in South Africa. Every day, the bank’s data warehouse had been loading 6 terabytes of data into an operational data store and several data marts, and data consumers began to complain about the complexity involved with accessing the data. Nedbank attempted to simplify the infrastructure by implementing a data lake, but the bank then struggled to integrate the data between the different warehousing constructs.
In this session, Jan Swanepoel, Multi-Product Technical Specialist for Enterprise Data Services at Nedbank, explains how the bank leveraged the Denodo Platform to establish one of the largest – if not the largest – logical data warehouse, to provide a unified interface accross the disparate data sources.
You will learn:
- The beginning and end state of Nedbank’s dramatic transformation
- How Nedbank enabled automatic updates to thousands of base views, for improved performance and data quality
- The flexibility that Nedbank stakeholders employed in iteratively creating virtual data patterns in the semantic layer to meet the different needs of reporting, business intelligence (BI) and analytics, and data science
- The full scope of Nedbank’s logical data warehouse
- What Nedbank is planning for the future