Building production ETL pipelines for LLM training is complex. After building pipelines processing 100TB+ of data, I’ve learned what works. Here’s the complete guide to building production data pipelines for LLM training. Figure 1: LLM Training Data Pipeline Architecture Why Production ETL Matters for LLM Training LLM training requires massive amounts of clean, processed data: […]
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Tips and Tricks – Use Span for Zero-Allocation String Parsing
Eliminate heap allocations when parsing strings by using Span
Building the Modern Data Stack: How Spark, Kafka, and dbt Transformed Data Engineering
The data engineering landscape has undergone a fundamental transformation over the past decade. What once required massive Hadoop clusters has evolved into a sophisticated ecosystem of specialized tools: Kafka for ingestion, Spark for processing, and dbt for transformation. Modern Data Stack Architecture The Paradigm Shift: Monolithic → Modular The old approach centered around monolithic platforms […]
Read more →Azure Data Factory: A Solutions Architect’s Guide to Enterprise Data Integration
Enterprise data integration has evolved from simple ETL batch jobs to sophisticated orchestration platforms that handle diverse data sources, complex transformations, and real-time processing requirements. Azure Data Factory represents Microsoft’s cloud-native answer to these challenges, providing a fully managed data integration service that scales from simple copy operations to enterprise-grade data pipelines. Having designed and […]
Read more →Tips and Tricks – Implement Domain Events for Loose Coupling
Use domain events to decouple components and enable reactive architectures.
Read more →Tips and Tricks – Apply Strangler Fig Pattern for Legacy Migration
Gradually replace legacy systems by routing traffic to new implementations incrementally.
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