Statistics for topic 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

Simple but powerful DAG scheduler and dashboard

Example end to end data engineering project.

🪐 1-click Kubeflow using ArgoCD

Simple but powerful DAG scheduler and dashboard

Distributed run of dbt models using Airflow

Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard.

Airflow plugin to export dag and task based metrics to Prometheus.

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

More than 2000+ Data engineer interview questions.

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

HashiQube - The Ultimate Hands on DevOps Lab running All the HashiCorp Products in a Github Codespace or a Docker Container using Vagrant or Docker Compose

Distributed run of dbt models using Airflow

The goal of this project is to build a docker cluster that gives access to Hadoop, HDFS, Hive, PySpark, Sqoop, Airflow, Kafka, Flume, Postgres, Cassandra, Hue, Zeppelin, Kadmin, Kafka Control Center ...

🪐 1-click Kubeflow using ArgoCD

Simple but powerful DAG scheduler and dashboard

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

More than 2000+ Data engineer interview questions.

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

🪐 1-click Kubeflow using ArgoCD

react-flow中文文档.

Integrating Airbyte, Kafka, Airflow and MLflow on Azure Linux VMs within private network to periodically retrain LSTM Attention model with 1-minute stock prices and redeploy it on Azure ML AKS real-ti...

Nyc_Taxi_Data_Pipeline - DE Project

Simple but powerful DAG scheduler and dashboard

Distributed run of dbt models using Airflow

Nyc_Taxi_Data_Pipeline - DE Project

🪐 1-click Kubeflow using ArgoCD

Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more

Produce Kafka messages, consume them and upload into Cassandra, MongoDB.

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

More than 2000+ Data engineer interview questions.

🌀 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 𝘤...

An end-to-end LLM reference implementation providing a Q&A interface for Airflow and Astronomer

Playground for Lakehouse (Iceberg, Hudi, Spark, Flink, Trino, DBT, Airflow, Kafka, Debezium CDC)

A Python package that creates fine-grained dbt tasks on Apache Airflow

User friendly and open source platform for workflow creation and monitoring

Project was based on an interest in Data Engineering, ETL pipeline. It also provided a good opportunity to develop skills and experience in a range of tools. As such, project is more complex than req...