Football Data Analytics | Azure End To End Data Engineering Project - Part 3

In this tutorial, we dive deep into the world of football data engineering. We'll walk through the entire process of extracting football data from Wikipedia using Apache Airflow, storing it in Azure Data Lake, migrating the data with Azure Data Factory, querying with Azure Synapse, and finally visualizing our findings in Tableau.

🔗 Timestamps:
0:00 - Introduction
1:00 - Creating a free Azure account
2:15 - Setting up storage account
7:30 - Pushing Data from Airflow to Azure Data Lake
12:13 - Setting up Data Factory
16:21 - Data Integration with Data Factory
26:26 - Setting up Synapse Analytics
37:33 - Writing Complex Queries with Synapse
58:30 - Outro

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📚 Resources & Links:
1. Apache Airflow Documentation: https://airflow.apache.org/docs/
2. Azure Data Lake Documentation: https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction
3. Azure Data Factory Documentation: https://learn.microsoft.com/en-us/azure/data-factory/
4. Azure Synapse Documentation: https://learn.microsoft.com/en-us/azure/synapse-analytics/overview-what-is
5. Medium Link: https://medium.com/@yusuf.ganiyu/football-data-analytics-from-wikipedia-through-azure-and-apache-airflow-to-tableau-5edeb035cc0b

⚡️Tags ⚡️
Football, Data Engineering, Apache Airflow, Docker, Azure Data Lake, Azure Data Factory, Azure Synapse, Tableau, Data Visualization, Wikipedia Data Extraction, Tutorial

⚡️Hashtags ⚡️
#FootballData #DataEngineering #ApacheAirflow #Azure #Tableau #WikipediaData #DataVisualization #docker