Lifting the Shop’s Data Processing Capabilities
The new platform has many advantages; take data collection, for example. Before, the supermarket could only batch process data. Now, they do that smoothly via Apache Airflow, and they can also stream process data through Pub/Sub and streaming components running on Kubernetes. The supermarket can analyze its data in real-time and act on it: prompt e-mails for abandoned shopping carts, swift recommendations, you name it.
We also designed and developed a standardized way to bring scheduled queries and analytical views to the cloud, which makes for some happy data scientists! And some jealous colleagues – quite a few company divisions are eager to adopt the new set-up, and Fullstaq is keen to help.
An Air-Gapped Kubernetes Implementation
Building Kubernetes as a Service for de Volksbank