airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Workflow Engine for Kubernetes

Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code

Build data pipelines, the easy way 🛠️

Curated list of resources about Apache Airflow

Docker Apache Airflow

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.

Elyra extends JupyterLab with an AI centric approach.

Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.

A series of DAGs/Workflows to help maintain the operation of Airflow

More than 2000+ Data engineer interview questions.

An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

Construct Apache Airflow DAGs Declaratively via YAML configuration files

Example end to end data engineering project.

Run your dbt Core or dbt Fusion projects as Apache Airflow DAGs and Task Groups with a few lines of code

A Data Engineering & Machine Learning Knowledge Hub

Personal Data Engineering Projects

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.