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
Speakers
- Damon Cortesi, Big Data Architect, AWS
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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