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Data Science Technological Stacks

Comfiz Data science platform architecture

Building data science stacks for both R&D and production can be a complex task, particularly when data science models need to be integrated into larger legacy systems. Data science key processes need to be carefully defined and maintained to leverage the full value of data science:
- data integration and data consolidation
- data preprocessing and data enrichment
- models design and training
- models deployment
- models maintenance

The Comfiz platform can be used as the single source of truth for data engineers and machine learning engineers engage in the deployment and monitoring of models in production.

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API Framework

We fully believe in micro services oriented architectures. Comfiz Restful APIs and graphQL APIs gives our customers the capacity to build data-driven services on top of the Comfiz platform.

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Open APIs