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GitHub: https://github.com/knodax-labs-demo/aws-data-and-ml-labs/blob/main/01-catalog-csv-data-from-S3-aws-glue.md Designing Data Repositories and Storage-Solutions for ML and DE In this step-by-step tutorial, you’ll learn how to set up an AWS Glue Crawler to automatically catalog CSV data stored in Amazon S3 — a key skill for data engineering and machine learning workflows on AWS. AWS Glue helps you extract metadata, create tables, and prepare data for analysis with Amazon Athena — all without writing any code, making it an essential service to master for real-world data pipelines. 🎓 Perfect for AWS Certification Prep: This hands-on walkthrough directly supports topics covered in the AWS Certified Data Engineer – Associate (DEA-C01) and AWS Certified Machine Learning – Specialty (MLS-C01) exams, especially in areas like data ingestion, transformation, cataloging, and query preparation. 🔍 What You’ll Learn: Upload CSV data to S3 for use with AWS Glue Create and configure an AWS Glue Crawler Set up the IAM role with correct permissions Create a target database for storing metadata Run the crawler and verify the created table By the end of this video, you’ll know how to automate data cataloging and integrate your data into analytics workflows — an essential step in building scalable data engineering and ML solutions on AWS. ⚠️ Important: AWS Glue is not free. You’re billed based on DPU usage and runtime, charged per second with a 1-minute minimum. If you want to avoid charges, simply watch the tutorial instead of following along. And remember to delete any resources created during this demo to avoid ongoing costs. 📚 More AWS Tutorials & Exam Prep: 👉 Subscribe to the KnoDAX YouTube channel for more AWS hands-on labs, certification guides, and real-world projects. 👉 Explore our full collection of AWS certification books and study guides: https://www.amazon.com/stores/SK-Singh/author/B09L6H39XM #AWSGlue #AWSTutorial #DataCatalog #S3 #Athena #DataEngineer #MachineLearning #KnoDAX #AWSCertification #CloudComputing
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