foodforplanet, leading this initiative for the whole group, chose to work with AWS for the flexibility and openness of the cloud services. AWS offers a wide variety of choices to implement data and analytics use cases, which integrate in a plug-and-play fashion and are priced mainly in a pay-for-use model. As an example, a modern data platform must support scalable data stores that support different usage scenarios. Using the AWS Lake House Architecture, a Data Lake is built with services such as Amazon S3, AWS Glue and AWS Lake Formation to create a cheap storage with basically no capacity limit. The data lake is complemented by Amazon Redshift, the cloud data warehouse service, that integrates seamlessly with the Data Lake using Redshift Spectrum and offers a performant SQL based access to the curated and refined data ready for end-user consumption.