A curated list of awesome open source tools and commercial products to catalog, version, and manage data 🚀

🦀 A smart, persistent key-value store in Rust for managing data with a lifecycle. Features atomic TTLs, frequency counting, and is built on sled for performance and durability.

A spectral ClickHouse analyzer that tracks which tables are actually used and by whom. Maps queries to IPs/K8s services, flags dead tables and orphaned MVs, and helps keep your cluster clean and intentional.

A coursera course on Machine Learning in Production

End-to-end Heart Disease Predictive Model using a Five-Layer Cloud Architecture (Bronze-Silver-Gold) on GCP with Dataproc, BigQuery ML, and Vertex AI.

The objective of this project was to develop a revenue forecasting solution for a digital wallet company. The primary goal was to analyze historical transaction data, create a predictive model to forecast future revenue, and present these insights through an interactive dashboard.

Enterprise IAM governance pipeline — maps 75 applications to IAM products, classifies risk, detects governance gaps, and produces management dashboards with remediation queues and department scorecards.

Alchemist is an intelligent data transformation engine that turns raw, messy data into clean, curated, and governed datasets. It automates and simplifies the data engineering lifecycle with a focus on quality, lineage, and operational excellence across the modern data ecosystem.

RDM course with tactical solutions for researchers and data professionals alike

“A full-stack data lifecycle project for stock market data using Python, MySQL, Feature Engineering, and EDA, focused on FAANG companies.”

📊 Analyze ClickHouse usage to uncover table relationships, discover safe cleanup options, and generate insightful visual reports effortlessly.

Práctica 1. Tipología y Ciclo de Vida de los Datos. Caso práctico de Web Scraping orientado a aprender a identificar los datos relevantes por un proyecto analítico y usar las herramientas de extracción de datos.