Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Oct 31, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Workflow Engine for Kubernetes
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.
PipelineAI
Docker Apache Airflow
Curated list of resources about Apache Airflow
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
The User-Community Airflow Helm Chart is the standard way to deploy Apache Airflow on Kubernetes with Helm. Originally created in 2017, it has since helped thousands of companies create production-ready deployments of Airflow on Kubernetes.
More than 2000+ Data engineer interview questions.
A series of DAGs/Workflows to help maintain the operation of Airflow
Elyra extends JupyterLab with an AI centric approach.
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Build data pipelines, the easy way ๐ ๏ธ
Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)
A Data Engineering & Machine Learning Knowledge Hub
Example end to end data engineering project.
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
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