youtube_data_analysis
Created an optimised pipeline to provide accurate data for analysis, then used snowsight (provided by Snowflake) to create a dashboard. (by Nupurgopali)
premier-league
A Data Engineering project. Repository for backend infrastructure and Streamlit app files for a Premier League Dashboard. (by digitalghost-dev)
youtube_data_analysis | premier-league | |
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1 | 8 | |
16 | 154 | |
- | - | |
0.0 | 9.4 | |
over 1 year ago | 16 days ago | |
Python | Python | |
- | - |
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.
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.
youtube_data_analysis
Posts with mentions or reviews of youtube_data_analysis.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Data pipeline project for beginners
Link: https://github.com/Nupurgopali/youtube_data_analysis
premier-league
Posts with mentions or reviews of premier-league.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-24.
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Google Cloud Portfolio Projects?
I have a data engineering project that uses BigQuery, Cloud Run, Compute Engine, Cloud SQL, Artifact Registry, Firestore, and Datastream.
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Am I using (and understanding) dbt correctly?
I'm currently working on a personal project where I am starting to implement dbt as a transformation step. One of my data pipelines runs in the following steps:
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What are your weekend side projects?
I’ve been building a Premier League Dashboard with Streamlit as a DE project.
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Introducing Firestore into my Premier League Project
Streamlit Dashboard: https://premierleague.streamlit.app
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Premier League Project Infrastructure Update
Here is my updated GitHub Actions Workflow file: ci.yml
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Another data project, this time with Python, Go, (some SQL), Docker, Google Cloud Services, Streamlit, and GitHub Actions
Here is the GitHub repo.
What are some alternatives?
When comparing youtube_data_analysis and premier-league you can also consider the following projects:
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
didact-engine - The REST API and execution engine for the Didact Platform.
canarypy - CanaryPy - A light and powerful canary release for Data Pipelines
black - The uncompromising Python code formatter