Building An NBA Data Lake With AWS Services
Creating an NBA Data Lake with AWS services like S3, Glue & Athena. Automate setup with Python script to store, query & analyze NBA data efficiently. Learn cloud architecture design, metadata management & SQL-based analytics.
Creating a cloud-native data lake for NBA analytics has never been easier, thanks to AWS's powerful suite of services. This guide will walk you through the process of building an NBA Data Lake using Amazon S3, AWS Glue, and Amazon Athena. By automating the setup with a Python script, you'll learn how to store, query, and analyze NBA data efficiently. Let's dive into the details. What Is a Data Lake? A data lake is a centralized repository that allows you to store structured and unstructured data at any scale. With a data lake, you can store your data as-is, process it as needed, and...