The services and support you need for your data products.
Built from customer-proven patterns for analytics and machine-learning, NativeML is your end-to-end provider of cloud-native services and automation.
We help you build, automate, and run your data products in 4 simple steps.
Data Product Architecture
Step 1: Design
We design a cloud-native architecture based on user needs, product requirements, and customer-proven patterns.
Step 2: Ingest
Fast, reliable, inexpensive, and sustained data movement from sources into cloud-native storage.
Data Product Engineering
Step 3: Transform
Transform unbounded, unordered, and messy data to help inform crucial business decisions.
Step 4: Serve
Deploy, serve, and monitor your analytics and machine learning data products.
BREAkdown of Data Product Architecture
Step 1: Cloud-Native Design
Breakdown of Managed Pipelines
Step 2: Ingest Data to the Cloud
Breakdown of Data Product Engineering
Step 3: Transform Your Data
Breakdown of MLOps
Step 4: Serve Your Users
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