Building An NBA Data Lake With Microsoft Azure
Automate NBA data collection with Python on Azure! Use Azure Blob Storage, Synapse Analytics & SportsData.io API to build a scalable data lake for efficient storage & processing of raw NBA data.
Introduction Data lakes are essential for modern data engineering, enabling efficient storage and processing of raw data. In this blog post, we will explore how to build an NBA Data Lake using Microsoft Azure, leveraging services such as Azure Blob Storage, Azure Synapse Analytics, and Python automation. We will also provide a detailed breakdown of each file in the repository, explaining its purpose and functionality. Prerequisites Ensure you have the following before running the scripts: 1️⃣ SportsData.io API Key Sign up at SportsData.io Select NBA as the API you want to...