Build & Integrate

NATIS Architecture Guides

Reference architectures, design patterns, and best-practice blueprints for implementing NATIS at enterprise scale across every industry.

🏛️

Platform Architecture

Reference Architecture

NATIS Lakehouse Architecture

Complete reference design for a production NATIS lakehouse — zones, storage, compute, governance, and access patterns.

Reference Architecture

Multi-Cloud Deployment Patterns

Design patterns for deploying NATIS across AWS, Azure, and GCP — including networking, IAM, and data residency.

Best Practice

Medallion Architecture (Bronze/Silver/Gold)

Implementing the industry-standard multi-layer data architecture on NATIS for quality, governance, and performance.

Best Practice

Cost Optimization Architecture

Cluster sizing, auto-scaling, spot instances, caching strategies, and cost governance patterns for NATIS workloads.

🏢

Industry Reference Architectures

Financial Services

Enterprise Data Platform for Banking

Risk analytics, regulatory reporting, AML, and customer 360 architecture on NATIS for tier-1 banks.

Healthcare

Clinical Data Platform Architecture

FHIR-compliant data ingestion, patient data governance, HIPAA controls, and clinical analytics on NATIS.

Retail

Omnichannel Analytics Architecture

Customer personalization, demand forecasting, inventory analytics, and supply chain intelligence on NATIS.

Logistics

Supply Chain Intelligence Platform

IoT data ingestion, real-time tracking, predictive maintenance, and smart port operations on NATIS.

🧠

AI & ML Architecture

MLOps

End-to-End MLOps Architecture on NATIS

Feature store, experiment tracking, model registry, A/B testing, and production serving architecture.

GenAI

RAG Architecture for Enterprise AI

Retrieval-augmented generation pattern using NATIS vector search, Delta tables, and LLM orchestration.

Real-Time ML

Streaming ML Inference Architecture

Real-time feature computation, low-latency inference, and feedback loop design for production ML systems.