weather_data_pipeline VS f1-data-pipeline

Compare weather_data_pipeline vs f1-data-pipeline and see what are their differences.

weather_data_pipeline

This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard (by James-Wachuka)
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weather_data_pipeline f1-data-pipeline
1 1
3 23
- -
4.2 6.8
about 1 year ago 10 months ago
Python Python
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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weather_data_pipeline

Posts with mentions or reviews of weather_data_pipeline. We have used some of these posts to build our list of alternatives and similar projects.

f1-data-pipeline

Posts with mentions or reviews of f1-data-pipeline. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing weather_data_pipeline and f1-data-pipeline you can also consider the following projects:

magic-the-gathering - A complete pipeline to pull data from Scryfall's "Magic: The Gathering"-API, via Prefect orchestration and dbt transformation.

dbt2looker - Generate lookml for views from dbt models

prefect-deployment-patterns - Code examples showing flow deployment to various types of infrastructure

astro - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. [Moved to: https://github.com/astronomer/astro-sdk]

youtube_data_analysis - Created an optimised pipeline to provide accurate data for analysis, then used snowsight (provided by Snowflake) to create a dashboard.

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

dataproc-templates - Dataproc templates and pipelines for solving simple in-cloud data tasks

maternal-health-risk - Maternal Health Risk prediction MLOps pipeline