audiophile-e2e-pipeline
data_engineering_project_1
| audiophile-e2e-pipeline | data_engineering_project_1 | |
|---|---|---|
| 3 | 1 | |
| 170 | 14 | |
| - | - | |
| 0.0 | 10.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| - | - |
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.
audiophile-e2e-pipeline
- Where can I find online projects end-to-end?
-
Celebrating my first Data Engineering Project -- Fitbit data with PySpark, GCP, prefect, and terraform!
ris-tlp adiophile-e2e-pipeline
- Built and automated a complete end-to-end ELT pipeline using AWS, Airflow, dbt, Terraform, Metabase and more as a beginner project!
data_engineering_project_1
What are some alternatives?
data-engineering-zoomcamp - Free Data Engineering course!
ghcn-d - Data Pipeline from the Global Historical Climatology Network DataSet
Reddit-API-Pipeline
stream-iot - An end-to-end workflow for processing streaming data on Azure.
StravaDataPipline - :arrows_counterclockwise: :running: EtLT of my own Strava data using the Strava API, MySQL, Python, S3, Redshift, and Airflow
streamify - A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!
pydantic - Data validation using Python type hints
finnhub-streaming-data-pipeline - Stream processing pipeline from Finnhub websocket using Spark, Kafka, Kubernetes and more
surf_dash
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.