Preparing data for RAG requires specialized ETL pipelines. After building pipelines for 50+ RAG systems, I’ve learned what works. Here’s the complete guide to ETL for vector embeddings.
Read more →Category: Data Engineering
Data Pipelines for LLM Training: Building Production ETL Systems
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: […]
Read more →Modern Python Patterns for Data Engineering: From Async Pipelines to Structural Pattern Matching
Introduction: Modern Python has evolved dramatically with features that transform how we build data engineering systems. This comprehensive guide explores advanced Python patterns including structural pattern matching, async/await for concurrent data processing, dataclasses and Pydantic for robust data validation, and context managers for resource management. After building production data pipelines across multiple organizations, I’ve found […]
Read more →Production Data Pipelines with Apache Airflow: From DAG Design to Dynamic Task Generation
After 20 years in enterprise data engineering, I’ve implemented Apache Airflow across healthcare, financial services, and cloud-native architectures. This article shares production-tested patterns for building resilient, scalable data pipelines—from DAG design principles to dynamic task generation strategies that handle thousands of workflows. 1. The Fundamentals: Why Airflow Remains the Standard Apache Airflow has become the […]
Read more →Orchestrating Enterprise Data Pipelines with Google Cloud Composer and Apache Airflow
Production-tested patterns for orchestrating enterprise data pipelines with Google Cloud Composer and Apache Airflow. Includes architecture, code examples, security, and cost optimization strategies.
Read more →