Tag
Data Engineering
9 posts
Data pipelines, warehouses, streaming and modern data architectures.
Real-time data pipelines: a practical guide for engineering teams
How to design, implement and operate real-time data pipelines. Architectures, tools and patterns that work in production.
Real-Time Payment Reconciliation: Architecture and Lessons
Real-time payment reconciliation architecture. Event-driven matching, exception handling, audit trails, and accounting integration from production experience.
Apache Kafka for the Mid-Market: Practical Implementation
Practical guide to implementing Apache Kafka for mid-sized companies. Sizing for 10K-1M events/day, topic design, consumer groups, and operational runbooks.
Data Quality: How to Improve It Without Stopping Operations
How to improve data quality without stopping operations. Profiling, validation rules, automated cleansing pipelines, quality dashboards, and data stewards.
Fintech Compliance: Building Regulatory Reporting Infrastructure
Regulatory reporting infrastructure for fintech. Data aggregation, real-time reconciliation, audit trails, and automated submissions. MiCA, DAC8, PSD2.
Real-Time Shipment Tracking: Architecture and Implementation
Complete real-time shipment tracking architecture. Event sourcing, GPS ingestion, geofencing, notifications, and dashboards. Throughput benchmarks.
NLP for Document Classification: Practical Implementation
Practical guide to document classification with NLP. Pre-trained models, fine-tuning, labeling workflows and deployment. Legal and logistics use cases.
ETL vs ELT: Why the Difference Matters in 2025
Practical comparison of ETL and ELT in 2025. Cloud data warehouse impact, real costs, migration paths and when to choose each pattern.
IoT in Construction: Sensors, Data and Remote Site Control
IoT sensors on construction sites: environmental monitoring, structural health, progress tracking and BIM integration. Real cases and data architecture.