Tag
Data Engineering
8 posts
Data pipelines, warehouses, streaming and modern data architectures.
Data Governance: From Legal Obligation to Competitive Advantage
Data governance goes far beyond the GDPR checkbox. Data catalogs, quality frameworks, lineage and organizational models that turn data into advantage.
Event-Driven Architecture for Logistics Operations
Event-driven architecture for logistics: shipment events, exception handling, automated re-routing and legacy TMS/WMS integration.
Retail Media and Personalization: The Infrastructure Behind the Data
CDP architecture, real-time decisioning and privacy compliance for retail personalization. Practical infrastructure guide.
RAG vs Fine-Tuning: Choosing the Right Approach for Your Business
RAG and fine-tuning solve different problems. Cost, latency, accuracy and maintenance compared with real benchmarks from production projects.
Data Warehouse vs Data Lake: 2025 Decision Guide
Decision framework for warehouse, lake, lakehouse. Cost comparison, workload matching, vendor-neutral.
How We Built a Real-Time Data Pipeline with Kafka and Flink
Production war story of building a real-time logistics tracking pipeline. Schema evolution, exactly-once semantics, backpressure, throughput metrics.
MLOps: From Notebook to Production Pipeline
Bridging data science experimentation and production ML systems. Model registries, feature stores, monitoring, cost optimization.
Omnichannel Retail: Why Physical Stores Need Data Architecture
Physical stores that do not unify their data with online channels are losing 23% of cross-sell revenue. What to do about it.