From ingesting raw data to optimizing your production dataset, building a data lake is a complex process that can take months and requires expertise across several domains.
Damon Cortesi demonstrates how to use AWS Glue and Amazon Athena to implement an end-to-end pipeline. Join in to learn how Damon used this technique to build his own personal data lake collecting data across native AWS service logs and external third-party services.
This session is sponsored by Amazon Web Services.
Damon Cortesi is a big data architect at Amazon Web Services, where he helps customers build and deploy data platforms. He spends most of his time exploring the depths of Apache codebases and making data and analytics more accessible. Previously, he was cofounder and CTO of a social analytics startup, where he built the initial data gathering and report generation pipelines and grew the team to over 100 people.
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