The customer operates an international web platform for brokering used vehicles. Growing business and the resulting increase in customer data volumes brought mobile.de’s data warehouse system to its capacity limits, both qualitatively and quantitatively. Processing and query speeds suffered from the data load, and improving data timeliness was difficult with the existing platform.
As a result, mobile.de decided to replace the existing ETL tool with one that was more scalable and cost-effective, necessitating a redevelopment of the ETL processes/steps.
The conception of a scalable data warehouse architecture was to be created by an external, independent and, above all, experienced service provider. Ingestion and processing of existing and new data volumes were to be accurately pointed out. Whether the migration of the ETL steps would be sufficient to increase the scalability of the application had to be examined.
