Dec 18, 2025 · 3 min read · 📜 What Is the ETL/ELT Evolution? For decades, ETL (Extract, Transform, Load) was the standard approach to building data pipelines.Data was extracted from source systems, transformed in intermediate servers, and then loaded into warehouses. With clou...
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Nov 4, 2025 · 7 min read · Problem Statement While experimenting with machine learning models — tuning hyperparameters with Bayesian methods, running cross-validations, and optimizing trials using Optuna with MLflow tracking — I found myself constantly fighting the same proble...
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Sep 17, 2025 · 1 min read · We are currently managing 370+ data pipelines running on a single server. Each pipeline scrapes and ingests data daily. Our Airflow server can execute 16 pipelines concurrently (16 threads), but some large pipelines (like Amazon, Walmart, or eBay) pr...
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Aug 4, 2025 · 11 min read · As Large Language Models (LLMs) evolve, building smart AI systems isn’t just about prompt engineering anymore — it's about connecting data pipelines, orchestrating multi-stage tasks, and deploying reliable, scalable applications. This is where GenAI ...
Join discussionJul 28, 2025 · 3 min read · No module named ‘airflow\.providers.postgres.operators’ — and why using SQLExecuteQueryOperator saved the day The Frustrating Error That Blocked My DAGs If you’ve ever set up Apache Airflow in Docker and tried to use the Postgres operator in your DAG...
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Jul 28, 2025 · 2 min read · Apache Airflow can seem intimidating at first, with its steep learning curve and occasional setup errors. However, once you get it running on your machine, the sense of achievement is unparalleled, especially for beginners. This guide provides a clea...
Join discussionMay 22, 2025 · 10 min read · Have you ever looked at stock charts and wondered what goes on behind the scenes to make them work? Maybe not, but I did, especially after starting crypto trading late last year. That curiosity led me, a few weeks back, to start a personal data engin...
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Jan 10, 2025 · 6 min read · Data Engineering Foundations: A Hands-On Guide Hey there! If you’ve been curious about data engineering, this guide will help you understand the basics and walk you through practical examples. Whether it’s setting up storage, processing data, automat...
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Nov 28, 2024 · 2 min read · Apache Airflow is a powerful open-source platform designed to author, schedule, and monitor workflows. It has become a popular choice for orchestrating ETL pipelines and machine learning workflows due to its extensible framework and robust tracking c...
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Oct 4, 2024 · 11 min read · 1. Installing Airflow via pip 🛠️ Boilerplate Code: pip install apache-airflow Use Case: Install Apache Airflow to automate workflows and tasks. Goal: Set up Airflow for task automation on your local environment. 🎯 Sample Code: pip install apache-a...
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