![](https://play.vidyard.com/G7RChgospkHk49AVq6VNUe.jpg)
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.
![](https://pages.awscloud.com/rs/112-TZM-766/images/learning-objective.png)
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
![](https://pages.awscloud.com/rs/112-TZM-766/images/who-attend.png)
Who Should Attend?
Data Engineers, Data Scientists, Cloud Architects, Business Analysts, Database Administrators, and anyone who works with analytics
Speakers
- Damon Cortesi, Big Data Architect, AWS
![](https://pages.awscloud.com/rs/112-TZM-766/images/speakers.png)
Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/big-data/datalakes-and-analytics/
Intro body copy here about 2018 re:Invent launches.
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