Stanislav Samko, Head of Data Engineering CoE, Sigma Software
When the Hasson Lab research team set out to capture early human development in unprecedented detail, they ran into a problem any data-intensive organisation will recognise. The dataset was enormous and too complex for their existing tools to handle. They had to collect, process, and prepare hundreds of hours of naturalistic recordings for analysis and modelling. At that scale, standard approaches to ingestion, storage, and processing broke down, leaving invaluable data effectively out of reach.