Depop: Real-Time Data Ingestion and Analysis
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24.04.19 – 49 4883:27Популярные
19 дней – 79610:44
5 дней – 4359:36Опубликовано 24 апреля 2019, 18:45
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Watch this video to learn how Depop built a data ingestion pipeline and analysis system to handle events from their ecommerce marketplace site. We discuss how the Depop team iterated on their initial architecture to take advantage of a flexible data lake pattern using Lambda, S3, Glue, and Athena. To allow Glue to create a different schema for each data type, they created a separate Kinesis stream for each record or event type.
Host: Toby Knight, Manager, Solutions Architecture
Customer: Alexej Tessaro, Lead Platform Engineer
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Watch this video to learn how Depop built a data ingestion pipeline and analysis system to handle events from their ecommerce marketplace site. We discuss how the Depop team iterated on their initial architecture to take advantage of a flexible data lake pattern using Lambda, S3, Glue, and Athena. To allow Glue to create a different schema for each data type, they created a separate Kinesis stream for each record or event type.
Host: Toby Knight, Manager, Solutions Architecture
Customer: Alexej Tessaro, Lead Platform Engineer
Subscribe:
More AWS videos bit.ly/2O3zS75
More AWS events videos bit.ly/316g9t4
#AWS
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