DevOps & DataOps for Cloud Native Automation of Data Pipelines

Maytronics, a world leader manufacturer of robotic swimming pool cleaners, needs to manage and process large amounts of data coming from their products to enable advanced business analysis. From the application point of view, to achieve this result, it is necessary to develop and maintain ETL pipelines efficiently, enabling data ingestion, processing and transformations. These processes require a cloud architecture designed and configured specifically to provide maximum data availability to the final users.

Iris Hauser, Data Science Center & Cloud Manager @ Maytronics
Giorgio Adami, Analytics Service Line Manager @ Moviri
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