Mastering ETL for Machine Learning with AWS: Glue, Step Functions, and Real-World Case Studies

Unlock the power of ETL (Extract, Transform, Load) for machine learning on AWS with this comprehensive webinar. Learn how to transform your data pipeline, optimize costs, and leverage AWS tools for seamless ETL processes in the cloud. Discover serverless data integration, visual workflows, and best practices for data transformation. Perfect for data engineers, analysts, and business professionals looking to harness the full potential of their data in the cloud using AWS services. Gain insights into ETL challenges, scalability, security, and performance optimization. Explore AWS proof of concept (POC) funding options to kickstart your data projects.

Featuring:
Joaquin Lippincott, CEO and founder of Metal Toad
Nathan Wilkerson, VP Engineering at Metal Toad
David Dolan, Engineering Team lead at Metal Toad
Gitika Vijh, Partner Solutions Architect Analytics for AWS

Metal Toad prides itself on being a reliable AWS service provider as well as providing information like this for free for aspiring software engineers and business owners.

For more information related to ETL, check out the links below:
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TIMESTAMPS

0:00 Introduction and Overview
3:54 AWS Glue: Serverless Data Integration
7:38 AWS Glue Ecosystem and Capabilities
10:10 AWS Step Functions: Visual Workflows
13:30 Case Study: National Merchants Association
19:14 AWS Proof of Concept (POC) Funding
22:03 Q&A Session: ETL Tools and Best Practices
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