Скачать или смотреть Building an Event-Driven Baseball Data Pipeline with Prefect, dbt, Snowflake & Hex

In this second part of our Moneyball Marvin series, we build on our baseball data analysis foundation by creating an automated data pipeline to process new game data. Watch as I demonstrate how to:

✅ Capture the latest Nationals game data in real-time
✅ Build an orchestrated workflow with Prefect that triggers automatically
✅ Transform and merge new game data with season stats using dbt
✅ Visualize team performance with Hex dashboards

This tutorial covers the complete process of setting up event-driven data workflows and creating a dashboard for baseball statistics. Perfect for data engineers, sports analytics enthusiasts, or anyone building automated data pipelines.

🔧 Tools used in this tutorial:

Prefect for workflow orchestration
Snowflake for data storage
dbt for data transformations
Hex for visualization
Python for scripting

⏮️ Missed Part 1? Watch it here:    • Baseball Data Engineering: From MLB Stats ...  

⏱️ Timestamps:
00:00 - Introduction
00:30 - Project overview
01:00 - Tools overview
01:30 - Code walkthrough
03:00 - Setting up dbt orchestration
20:00 - Creating the webhook trigger
30:00 - Automating the workflow in Prefect
44:30 - Running the pipeline
50:30 - Visualizing the data with Hex

💻 Get the code: https://github.com/PrefectHQ/moneybal...

#DataEngineering #Baseball #Prefect #dbt #Snowflake #DataPipeline #SportsAnalytics