BigQuery, Google’s serverless, petabyte-scale, low-cost analytics data warehouse, is based on over 10 years of innovation at Google. BigQuery has no infrastructure to manage, and you don’t need a database administrator, so you can focus on analyzing data to find meaningful insights. It is a heavily used product internally, and it now serves as a powerful analytics data warehouse for all types of organizations from startups to Fortune 500 companies.
Jordan Tigani puts BigQuery to the test by performing interactive analytics against a 1 PB dataset, showcasing the exciting new features that make this process easy, fast, and affordable, and demonstrates the simplicity of managing your petabyte-scale data with “NoOps” at all.
This session is sponsored by Google.
Jordan Tigani was one of the founding engineers on Google BigQuery, wrote the first book on the subject, and now leads its vision and roadmap as director of product management. Previously, Jordan worked at Microsoft Research and on the Windows Kernel team as well as at a number of star-crossed startups. He holds a bachelor’s degree from Harvard and a master’s degree from the University of Washington.
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