Skip to content
Proyectos

adilkhash/Data-Engineering-HowTo

Ver en GitHub

adilkhash/Data-Engineering-HowTo has 4,042 GitHub stars and 572 forks. GitHot measured +1 stars in 24 hours and +3 in 7 days. Last checked 2026-11-08 14:54 UTC. Last push 2026-10-30.

Cómo se miden estas cifras

Lista de recursos útiles para aprender ingeniería de datos desde cero

Crecimiento de estrellas medido

in 24h
+1
in 7 days
+3
in 15 days
Recopilando historial
in 1 month
Recopilando historial

Cambios netos en períodos que se solapan, no totales diarios. Los datos no disponibles se dejan en blanco. Las estrellas indican interés, no calidad.

README.md

Original

How To Become a Data Engineer

💼 If you want to land a data engineering role, visit getdataengineeringjobs.com. It lists only data engineering jobs, collected from company career pages and job boards, which you can filter by tech stack, salary, remote policy and visa sponsorship.

Useful articles

Talks

Algorithms & Data Structures

SQL

Programming

Databases

Distributed Systems

Books

Courses

Blogs

  • Martin Kleppmann author of Designing Data-Intensive Application
  • BaseDS by Vaidehi Joshi about Distributed Systems

Tools

  • Apache Airflow is a platform to programmatically author, schedule and monitor workflows in Python
  • Apache Spark is a unified analytics engine for large-scale data processing
  • Apache Kafka is a distributed streaming platform
  • Luigi is a Python package that helps you build complex pipelines of batch jobs.
  • Dagster.io is a system for building modern data applications.
  • Prefect includes everything you need to create and run data applications.
  • Metaflow build and manage real-life data science projects with ease
  • lakeFS build repeatable, atomic and versioned data lake operations – from complex ETL jobs to data science and analytics.

Cloud Platforms

Communities

Data Engineering Jobs

Other

Newsletters & Digests

Explorar proyectos relacionados