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E-Commerce Data & AI Control Tower: Azure Fabric and Databricks

A seven-part guide to building, governing, and optimizing a petabyte-scale e-commerce data and AI platform.

E-Commerce Data & AI Control Tower: Azure Fabric and Databricks
Explore a practical, end-to-end design for a petabyte-scale e-commerce control tower using Microsoft Fabric and Databricks—from architecture and ingestion to data processing, agentic AI, governance, security, DevOps, semantic models, and optimization.

7 articles in this set

1 Azure Fabric :: Part 6 — Semantic Layer, AI/ML and Optimization Bring the six-part e-commerce control tower together with governed analytics, AI/ML monitoring, agentic AI ROI... 🔒 2 Azure Fabric :: Part 5 — Governance, Security and DevOps with Agentic AI See how agents can support Parts 1–4, then help review identity, PII, lineage and deployment controls across F... 🔒 3 Azure Fabric :: E-Commerce Data & AI Control Tower — Part 4: Agentic AI for Cost, Time and Operations Use a guarded agentic AI operations layer to prioritize data incidents, investigate pipeline, capacity and net... 🔒 4 Azure Fabric :: E-Commerce Data & AI Control Tower — Part 3: Processing Structured, Unstructured and PII Data Turn petabyte-scale e-commerce feeds into trusted analytics: standardize orders and events, extract useful fie... 🔒 5 Azure Fabric :: Part 2 — Petabyte-Scale Ingestion Design restartable backfills and continuous database, file, API and event ingestion with checkpoints, watermar... 🔒 6 Azure Fabric :: Part 1 - Planning companion before Part 2 A phased effort and cost-planning baseline for a petabyte-scale e-commerce platform using Fabric and Databrick... 🔒 7 Azure Fabric :: Part 1 — Target Architecture : Fabric and Databricks platform for petabyte-scale e-commerce data Design a privacy-aware Fabric and Databricks platform for petabyte-scale e-commerce data, with observability a... 🔒