Plaid's Journey to Global Large-Scale Real-Time Analytics With Google BigQuery (Cloud Next '19)
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Google Cloud Platform1.17 млн
Опубликовано 12 апреля 2019, 18:20
Building large-scale real-time analytics platforms is a challenge - technologies are complex, architectures are fragile, and data simply gets lost along the way! In this session, we'll discuss how BigQuery makes real-time easy and powerful. We'll outline some popular and portable architectures and demonstrate them, well, in real-time! Finally, we'll learn how Plaid is leveraging BigQuery and Google Cloud for their global large-scale real-time analytics solution, receiving 40,000 events per second and storing Terabytes daily.
Global Large-Scale Real-Time Analytics → bit.ly/2Uhn7eB
Watch more:
Next '19 Data Analytics Sessions here → bit.ly/Next19DataAnalytics
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the GCP Channel → bit.ly/GCloudPlatform
Speaker(s): Tino Tereshko, Seth Hollyman, Yuki Makino
Session ID: DA306
product: Cloud - Data Analytics - BigQuery; fullname: Tino Tereshko, Seth Hollyman, Yuki Makino; event: Google Cloud Next 2019;
Global Large-Scale Real-Time Analytics → bit.ly/2Uhn7eB
Watch more:
Next '19 Data Analytics Sessions here → bit.ly/Next19DataAnalytics
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the GCP Channel → bit.ly/GCloudPlatform
Speaker(s): Tino Tereshko, Seth Hollyman, Yuki Makino
Session ID: DA306
product: Cloud - Data Analytics - BigQuery; fullname: Tino Tereshko, Seth Hollyman, Yuki Makino; event: Google Cloud Next 2019;
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