Task Orchestration using Directed Acyclic Graphs
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Updated
Sep 21, 2023 - Python
Task Orchestration using Directed Acyclic Graphs
Introduction to Apache Airflow
This dataset contains information about the customer and its location. You can use this dataset to identify unique customers in the order dataset and find the delivery location of orders.
A show case repository to use airflow, dbt and data warehouse systems in order to perform an ELT task.
To provide an introduction and demos in Google Cloud Platform Airflow Composer
This data pipeline project focuses on ingesting and processing raw stock market data, performing feature engineering on top of the processed data, training a predictive model, and building an API service to serve the trained model.
Parse Snakemake's input and output files as nodes in a DAG.
Implementation of Different Advanced Algorithms
Example MLOps/ML-training pipeline running with no cloud infrastructure except a public personal (free) Github acount.
Lightweight, accessible composite data structures for Python
An extension enabling the monitoring of Apache Airflow DAGs directly from Jupyter notebooks. Tailored for developers and data scientists, it simplifies tracking specific DAGs, reduces unnecessary friction, and allows severity levels setup for failed DAGs.
A simple DataOps for wine dataset on Docker
Works completed within the Airflow module of the Data Analyst course on the Karpov Courses platform
automated data pipeline using beautiful soup, apache airflow and dvc data versioning
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To associate your repository with the dag topic, visit your repo's landing page and select "manage topics."