How BuzzFeed Built A Great Data Experience Using BigQuery and Looker (Cloud Next '18)

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Опубликовано 25 июля 2018, 20:35
Buzzfeed gets 9 billion page views monthly, and our content publishers rely on data to inform decisions around what sort of stories should be written, when they should be published and on which platforms. Roughly 50% of our 1,500 employees use data every day. This talk will focus on how BigQuery and Looker allowed a small data team at Buzzfeed to manage the data needs of 800 users, and how migrating from AWS Redshift to BigQuery gave us the performance we needed to allow interactive querying of large datasets by non-technical people. We will also share our experiences using BigQuery DTS to ingest and analyze various marketing data in BigQuery.

Event schedule → g.co/next18

Watch more Data Analytics sessions here → bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → bit.ly/Allsessions

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re_ty: Publish; product: Cloud - Data Analytics - BigQuery, Cloud - Data Analytics - Looker; fullname: Ramy Hassanein; event: Google Cloud Next 2018;
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