I haven't tried it myself, but I think this is a good lecture where you can learn perspectives on large-scale batch processing. I enjoyed the lecture.

miaaade9585868

Learn the process of building data pipelines using Apache Airflow from basics to practical application. Understand Airflow's core concepts and architecture, and master advanced design patterns frequently used in practice such as dynamic DAGs, parallel processing, distributed processing, and Custom Operators through hands-on exercises. Set up a practice environment with Python and Docker, and develop practical skills to design and operate real workflows.

jhong

지식공유자의 깜짝할인

Designing Large-Scale Data Processing Patterns Based on Data Workflow Management with Toss Developers

Hello a mi! Thank you for leaving such a good review!! I will work hard to provide you with even better lectures in the future. Have a great day!

실습 중심

자격증

시험

데이터분석

데이터베이스

Apache Airflowを活用したデータパイプライン構築過程を基礎から実戦まで学習します。Airflowの核心概念とアーキテクチャを理解し、動的DAG、並列処理、分散処理、Custom Operatorなど実務でよく活用される高級設計パターンを実習を通じて身につけます。PythonとDockerで実習環境を構成し、実際のワークフローを設計し運営できる実戦力を育てます。

Hong

입문

초급

중급이상

Big Data

도커

Docker

docker-compose

airflow

Toss開発者と共に学ぶData Workflow Management基盤の大容量データ処理設計パターン

講義紹介及び講義資料

データパイプラインを構築したい理由は？

Airflow コアコンポーネントとアーキテクチャ

DAG & Task 高度設計パターン

Airflowでの並列処理および分散処理と大容量再処理

Python & Dockerを活用した軽量環境構築

実戦!! 実習しながら扱うAirflow

皆さんに知っていただきたいAirflow追加実習