Insights, tutorials, and thoughts on data engineering, analytics, and technology
In this article, I share my journey building a data pipeline for Formula 1 racing data using modern technologies. Learn how I leveraged PostgreSQL for storage, Kafka and Debezium for streaming, and DuckDB with dbt for analytics, implementing advanced patterns like CDC and SCD Type 2 along the way.
This tutorial explains how to build a content-based filtering system that predicts user ratings for movies based on their preferences. Learn the fundamentals of recommendation systems, from data preparation to similarity calculation and prediction, with practical Python implementation.