Broadcast Date: November 20, 2019

Level: 300

From ingesting raw data to optimizing your production dataset, building a data lake is a complex process that requires expertise across several domains. Damon Cortesi demonstrates how to use the portfolio of AWS analytics services, including AWS Glue and Amazon Athena, to implement an end-to-end pipeline. Watch to learn how Damon has built his own personal data lake to collect data from native AWS service logs and external third-party services and analyze his digital life.

Learning Objectives

  • Learn the steps to build a data lake
  • Understand how AWS analytics services fit together
  • Gain quirky insights on Damon's inbox, daily step count, and health

Who Should Attend?

Data Engineers, Data Scientists, Cloud Architects, Business Analysts, Database Administrators, and anyone who works with analytics


  • Damon Cortesi, Big Data Architect, AWS

Learn More

To learn more about the services featured in this talk, please visit:

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