Broadcast Date: November 20, 2019
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.
- 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
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.