This is a repo with links to everything you'd ever want to learn about data engineering

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

Scalable and efficient data transformation framework - backwards compatible with dbt.

Compare tables within or across databases

Scalable master data management, identity resolution, entity resolution, and deduplication using ML

A free to use dbt package for creating and loading Data Vault 2.0 compliant Data Warehouses (powered by dbt, an open source data engineering tool, registered trademark of dbt Labs)

The agent harness for building analytics into your app on top of ClickHouse, Redpanda and other high-performance analytical infrastructure

The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.

This repository provides various demos/examples of using Snowpark for Python.

An open source development framework to help you build data workflows and modern data architecture on AWS.

Roadmap for Data Engineering

end-to-end data engineering project to get insights from PyPi using python, duckdb, MotherDuck

Data Engineering Pilipinas is a community for data engineers, data analysts, data scientists, developers, AI / ML engineers, and users of closed and open source data tools and methods / techniques in the Philippines. Data Engineering Pilipinas is a PyData group.

Code and data for the Modern Polars book

Все, о чем меня когда-либо спрашивали на собеседованиях, и другие полезные знания в кратком формате

Companion repository that goes along with Snowflake's "Introduction to Modern Data Engineering with Snowflake" course on Coursera

PDFStract - Extract, Chunking and Embedding Layer in Your RAG Pipeline - Available as CLI - WEBUI - API