06Enterprise Scale

Real-Time Data Fabric

Streaming Lakehouse with deep AI agents on Databricks

1.8M+

Events processed

21.5s

E2E pipeline

0.89

F1-Score

This is for you if...

You are on or evaluating Databricks and want a production reference for streaming Lakehouse + AI agents with MLflow, Unity Catalog, and Feature Store.

Architecture

Why this architecture?

Exactly-once processing guarantee — zero duplicate records. Reproducible ML with decoupled feature engineering.

Key Capabilities

Databricks Lakehouse with full Medallion pattern

Spark Structured Streaming with Auto Loader

Checkpointed exactly-once processing

16-feature engineering + GradientBoosting

MLflow experiment tracking + model registry

Unity Catalog for data governance

LangGraph ReAct agent with 8 SQL tools

Production pipeline: 21.5s end-to-end

Tech Stack

Azure DatabricksSpark StreamingDelta LakeUnity CatalogMLflowAuto LoaderFeature StoreLangGraphGPT-4o

Industries

TechDevOps IntelligenceSaaSDatabricks customers

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