Data pipelines — Articles & Guides | Developers Voice

Building ETL Pipelines That Don't Break: Idempotency, Schema Evolution & Recovery with Azure Data

1 Introduction: The Fragility of Modern Data Workflows Modern ETL systems move faster and integrate more sources than anything built a decade ago. APIs evolve without notice. SaaS vendors add or r

The Apache Pulsar Advantage: Why Tencent Moved from Kafka - Multi-Tenancy, Geo-Replication, and Tiered Storage in Practice

1 Introduction: The Scale Ceiling and the Architectural Pivot Streaming platforms behave very differently once they move past “large” and enter true enterprise scale. At modest volumes, most archi

Building Production-Ready Dashboards in Python with Streamlit + DuckDB: From Raw Files to Enterprise-Grade Analytics

1 Introduction: The Need for Speed and Simplicity in Data Apps Data is only valuable if decision-makers can interact with it quickly, confidently, and at scale. Yet most organizations still feel t

Beyond Queues: Architecting Real-Time Data Streaming and Analytics Pipelines in .NET with Kafka and Apache Flink

Sudhir mangla
Data Engineering , Software Architecture
16 Jul, 2025

1 Introduction: The Evolution from Batch to Real-Time 1.1 The Limitations of Traditional Batch Processing For decades, businesses relied on nightly batch jobs to process transactional data. T