Farmacy Food is not just about food. It's about smart, intelligent and AI driven decisions at the right time. There's plenty of information in the ssytem which could be used for decisions, analytics and maybe even clinical researched in the future. Each event, be it creation of an order, meal preparation, meal arrival to fridge customer feedback contains information that could used. Therefore, Farmacy Food needs robust and reliable Data Platform to support periodic as well as near real time stream analytics data appetites. Through this platform the experts, knowledge employees and the administration can track trends, analyze consumer preferences and predict inventory needs. In addition analysts and data scientists will get all tools to support their needs in data exploration, machine learning model training and machine learning model hosting. Data platform will also require Encryption capability at the very detailed level to store and process highly sensitive data.
- Periodic (batch) analytics
- Near real time stream analystics
- Data exploration
- Data visualization
- Machine Learning model training
- Machine Learning data featurization
- Machine Learning model hosting
- Ingestion subsystem.
- Data Lake.
- Processing subsystem.
- Serving subsystem.
- Fault Tolerance.
- Performance.
- Elasticity.
- Scalability.
- Supports workflows.
- Lambda Architecture