Solution
data-architecture
11 articles on data-architecture.
Data Lake Cost Optimization: 3 Levers
Data lake cost optimization comes down to three levers: partition pruning, file compaction, lifecycle tiering. How to tune each one in production.
Multi-3PL Logistics Data Foundation
Running shipments across multiple 3PLs and dozens of carriers? Real network visibility starts at the data layer — the multi-3PL foundation pattern.
Manufacturing Data Foundation: A Blueprint
Plant floor, ERP, quality, and maintenance data live in four silos that never join. Here's the manufacturing data foundation architecture that fixes it.
Data Lake or Data Swamp: 3 Failure Modes
Most data lakes drift into swamps within 18 months. A practitioner's breakdown of three failure modes — zones, governance, lifecycle — and the fixes.
Lakehouse vs Warehouse vs Data Lake
Lakehouse, warehouse, or data lake? A 2026 practitioner's decision framework that picks by workload concurrency, latency, team skill, and cost shape.
Retail Personalization Beyond the Carousel
Most retail personalization stops at the recommendation carousel. The real lift lives in the inventory join and identity layer underneath.
Medallion Architecture: 5 Failure Modes
Most bronze/silver/gold lakehouse builds repeat the same five mistakes. A practitioner's breakdown of medallion architecture failure modes — and the fixes.
Iceberg vs Delta vs Hudi in 2026
After years of open table format wars, the 2026 picture is clear: Iceberg has won, but the catalog choice is now where vendor lock-in lives.
Supply Chain Visibility Beyond Dashboards
Most supply chain visibility tools paint a dashboard over broken data. Real visibility lives in the WMS-TMS-carrier integration layer underneath.
Why Predictive Maintenance Pilots Stall
Most enterprise predictive maintenance pilots stall before payback. The fix isn't more sensors — it's the data foundation underneath. Here's the pattern.
Microsoft Fabric vs Databricks, Honestly
A practitioner's comparison of Fabric and Databricks across real enterprise workloads — with cost benchmarks and where each genuinely wins.