Real-Time Data Pipelines: Architecture That Holds Up
A real-time data pipeline holds up in production when it handles state, out-of-order events, load spikes and failures without losing records.
Paweł Szczepanik
Data Pipelines
Batch vs Streaming Data Processing: How to Choose
Batch vs streaming data processing comes down to how fresh your data must be. A framework based on freshness, volume and cost, plus micro-batch and Kappa.
Paweł Szczepanik
Data Pipeline Architecture Explained (2026 Guide)
A clear guide to data pipeline architecture: core layers, ETL vs ELT, batch vs streaming, and the patterns enterprise data teams use in 2026.
Paweł Szczepanik