ghcn-d VS data_engineering_project_1

Compare ghcn-d vs data_engineering_project_1 and see what are their differences.

data_engineering_project_1

My first attempt at a rough ETL pipeline; technologies include spark, GCS, prefect orchestration, and terraform (by rickyriled)
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ghcn-d data_engineering_project_1
1 1
21 14
- -
10.0 10.0
over 1 year ago over 1 year ago
Jupyter Notebook Python
GNU General Public License v3.0 only -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ghcn-d

Posts with mentions or reviews of ghcn-d. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-12.

data_engineering_project_1

Posts with mentions or reviews of data_engineering_project_1. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-12.

What are some alternatives?

When comparing ghcn-d and data_engineering_project_1 you can also consider the following projects:

audiophile-e2e-pipeline - Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard.

steam-data-engineering - A data engineering project with Airflow, dbt, Terrafrom, GCP and much more!

data-engineering-zoomcamp - Free Data Engineering course!

automate-dv - A free to use dbt package for creating and loading Data Vault 2.0 compliant Data Warehouses (powered by dbt, an open source data engineering tool, registered trademark of dbt Labs)