Data Modeling for BigQuery (Google Cloud Next ’17)


BigQuery is a different data warehouse, permitting new approaches to data modeling. To get the most out of this system, Dan McClary and Daniel Mintz examine where old assumptions of schema design come from, as well as how BigQuery allows them to challenge those assumptions to produce data models which are easier to query and more performant. Additionally, they examine this parallel evolution of assumptions in Business Intelligence, and how modern tools such as Looker can take full advantage BigQuery’s flexible data models.

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Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k


Duration: 57:36
Publisher: Google Cloud
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