Lernpfad für Data Engineering
Kuratierte Ressourcen, Tutorials und technische Guides zur Beherrschung essenzieller Data-Engineering-Skills und Infrastruktur-Tools.
Lernpfad für Data Engineering
Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
- andkret/cookbook
andkret/Cookbook
15,161Auf GitHub ansehenCookbook is a comprehensive knowledge base and reference repository for data engineering. It serves as a centralized directory for data architecture patterns, professional career roadmaps, and a curated collection of public datasets. The project provides a structured guide for transitioning into specialized data engineering roles through skill-matrix mapping and technical interview preparation. It further distinguishes itself by documenting real-world industry case studies and decomposing large-scale industrial implementations into repeatable architectural patterns. The repository covers a b
This repository is a curated knowledge base and career roadmap for data engineering, offering structured guides, skill-matrix mapping, and architectural patterns that cover key areas like big data and data warehousing, making it a strong fit for a comprehensive learning plan.
PythonBig Data Architectures - datatalksclub/data-engineering-zoomcamp
DataTalksClub/data-engineering-zoomcamp
42,483Auf GitHub ansehenThis project is an open-source educational curriculum designed to provide comprehensive training in data engineering. It focuses on building scalable data pipelines and managing cloud-native infrastructure through a structured, self-paced program that combines technical explanations with hands-on practical exercises. The curriculum distinguishes itself by emphasizing industry-standard methodologies, specifically teaching students how to implement infrastructure as code and manage data workflows through orchestration tools. By utilizing container-based environment isolation and declarative con
The Data Engineering Zoomcamp is a structured, self-paced curriculum that covers ETL pipelines, big data tools (Spark, Kafka), containerization, cloud infrastructure, and data warehousing with hands-on projects—exactly the comprehensive learning roadmap for data engineering you are looking for.
Jupyter NotebookData Engineering CurriculaData EngineeringCloud Infrastructure Courses
