A GCP developer's guide to building real-time data analysis pipelines (Google Cloud Next '17)
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10.03.17 – 1 50350:39Популярные
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138 дней – 41343:30Опубликовано 10 марта 2017, 4:46
In this video, you'll learn how to build a real-time event-driven data processing and analysis pipeline on Google Cloud Platform (GCP). Rafael Fernandez and Slava Chernyak show you how to ingest large-scale data streams and how to perform real-time normalization, aggregation and complex computation. You'll also learn how to create real-time dashboards and how to advance your data warehouse and machine learning skills. They cover tools and features in Google Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery and Cloud Machine Learning.
Missed the conference? Watch all the talks here: goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: goo.gl/OcqI9k
Missed the conference? Watch all the talks here: goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: goo.gl/OcqI9k
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