A Data Engineering deep dive with several data warehouses using real data sourced from Kaggle
-
Updated
Jan 12, 2025 - Python
#
googlebigquery
Here are 5 public repositories matching this topic...
GitHub repository showcasing strategies to optimize Google BigQuery (GBQ) costs when dealing with raw data dumps.
-
Updated
May 2, 2025 - Python
Apache Airflow powered ETL Pipeline for moving about 133k images from Kaggle to GCS and BigQuery
redis csv terraform postgresql parquet kaggle-dataset apache-airflow googlecloudplatform googlecloudstorage googlebigquery
-
Updated
Nov 20, 2024 - Python
Automated ETL pipeline using Python, Pandas, Apache Airflow, Docker, and Google BigQuery to extract, transform, and analyze trending movies and TV shows from the TMDB API.
python docker pandas data-engineering tmdb-api apache-airflow etl-pipeline dataanalytics tmdb-rest-api googlebigquery
-
Updated
Oct 27, 2026 - Python
-
Updated
Jun 22, 2023 - Python
Add this topic to your repo
To associate your repository with the googlebigquery topic, visit your repo's landing page and select "manage topics."