Daksh Bharat
Resource Center

The reference library for AI-native data architecture.

Field notes, reference designs, and playbooks drawn from real delivery. We publish these progressively. Want one ahead of release? Ask and we will share it.

Architecture Library

Reference patterns and reusable designs from delivered platforms.

Medallion (bronze/silver/gold) reference designData virtualization vs. copy: when to use eachSelf-serve platform contract templateGovernance-by-design pattern catalog

AI Enablement

Turning a data estate into something AI and agents can use.

GenAI document automation: an architecture walkthroughFeature pipelines and an MLflow model registryNatural-language reporting over a semantic layerResponsible-AI controls without slowing delivery

Playbooks

Operating guides for migration and governance teams.

Strangler migration playbookAzure deployment automation frameworkDomain onboarding guideData product SLA handbook
Pillar Topics

What I write about.

AI-Native ArchitectureData MeshData ProductsLakehouse ModernizationData GovernanceEnterprise AI InfrastructureData SovereigntyFederated Architecture
Step 01

We start with the truth

  • Your estate as it is
  • Debt quantified
  • Trade-offs named
Step 02

I design for your team

  • A target operating model
  • Something you can run
  • No black boxes
Step 03

We move incrementally

  • Strangler migration
  • Governed by design
  • No big-bang rewrites
Step 04

Your team takes it forward

  • The thinking transfers
  • Documented and owned
  • I step back
Architecture assessment

See where your architecture stands today.

A short self-assessment across architecture debt, AI readiness, and governance. Run it on your own, or walk through it with me.

Run the assessmentTalk to me directly