How to Build a Serverless Data Lake Foundation with AWS Glue
This tutorial by Cláudio Filipe Lima Rapôso explains how to build a serverless data lake foundation using AWS Glue, focusing on creating an automated pipeline that processes data from Amazon S3 into analytics-ready formats. The architecture leverages AWS services like S3, AWS Glue, Amazon Athena, and Amazon EventBridge to enable scalable, infrastructure-free data processing. It emphasizes best practices such as separating raw and curated data zones and using serverless technologies for cost-effective, scalable data engineering.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2686804) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Cláudio Filipe Lima Rapôso Posted on May 1 How to Build a Serverless Data Lake Foundation with AWS Glue #aws #dataengineering #serverless #tutorial 1. Introduction Welcome to this comprehensive tutorial on building a Serverless Data Lake Foundation using AWS Glue.
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