Finding the perfect dataset to supplement your existing workloads can be really difficult. It requires you to know where to look, how to access the data, and how often it's updated. This process can be challenging and time consuming. The Google Cloud Platform Public Datasets Program can help you focus on your analysis and insights instead of data discovery and onboarding, using BigQuery. This session will provide users with an overview of the Google Cloud Platform Public Datasets Program and the datasets that support geospatial analytics. In addition, this session will demonstrate how users can connect public datasets with their own data to leverage BigQuery's GIS support to expand their analysis without expanding your data discovery efforts.
Public Datasets → https://bit.ly/2K7uu3D
Intro to BigQuery GIS → https://bit.ly/2UfqHpB
Watch more:
Next '19 Data Analytics Sessions here → https://bit.ly/Next19DataAnalytics
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions
Subscribe to the G Suite Channel → https://bit.ly/G-Suite1
Speaker(s): Shane Glass, Felipe Hoffa, Clare Hegg, Kian Mirshahi
Session ID: DA208
product:BigQuery,Data Studio; fullname:Shane Glass,Felipe Hoffa;
official secrets Supporting Geospatial Analytics With GCP Public Datasets (Cloud Next '19) | |
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| Science & Technology | Upload TimePublished on 10 Apr 2019 |
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