- The Data Science Workflow https://medium.com/@kt.era.ee/the-data-science-workflow-43859db0415 9 comments datascience
Linked pages
- Quilt is a versioned data portal for AWS https://quiltdata.com/ 179 comments
- Data Version Control · DVC https://dvc.org/ 175 comments
- Metabase | Business Intelligence, Dashboards, and Data Visualization http://www.metabase.com/ 151 comments
- General Data Protection Regulation - Wikipedia https://en.m.wikipedia.org/wiki/general_data_protection_regulation 98 comments
- Uber Blog https://eng.uber.com/michelangelo/ 93 comments
- Home - Cookiecutter Data Science http://drivendata.github.io/cookiecutter-data-science/ 57 comments
- Grafana: The open observability platform | Grafana Labs https://grafana.com/ 28 comments
- FloydHub Blog https://www.floydhub.com/ 25 comments
- GitHub - meirwah/awesome-workflow-engines: A curated list of awesome open source workflow engines https://github.com/meirwah/awesome-workflow-engines 25 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- GitHub - spotify/luigi: Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. https://github.com/spotify/luigi 17 comments
- MLflow - A platform for the machine learning lifecycle | MLflow https://mlflow.org/ 14 comments
- Apache Airflow https://airflow.apache.org/ 10 comments
- GitHub - IDSIA/sacred: Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. https://github.com/IDSIA/sacred 6 comments
- https://hyperdash.io 4 comments
- Comet ML - Build better models faster https://www.comet.ml/ 4 comments
- Home Page | Pachyderm http://www.pachyderm.io/ 3 comments
- Iris flower data set - Wikipedia https://en.wikipedia.org/wiki/Iris_flower_data_set 3 comments
- View (SQL) - Wikipedia https://en.wikipedia.org/wiki/View_(SQL) 2 comments
- Feature Store: The missing data layer for Machine Learning pipelines? https://www.logicalclocks.com/feature-store/ 0 comments
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