Architecture for supporting data-driven processes on layer hen production data

Hendrix Genetics collects a great variety of data during the day-old chick production chain. The data could be analyzed to generate insights for production improvement. However, the data spread in multiple systems that behave as silos. It makes the data analyses that combine multiple datasets difficult or impossible. The report describes a project to design a system to enable data-driven applications by aggregating, storing, and providing the semi-structured and unstructured data collected during the production chain. A system prototype was implemented based on the design with several Microsoft Azure products. The design and implementation were verified by a data-driven application regarding day-old chick quality, and the result has shown the system could support data-driven applications.