Of your peers have already watched this video.

34:30 Minutes

The most insightful time you'll spend today!


Reinventing geospatial analytics as only Google can do: Intelligent platform

Geospatial analytics is undergoing a fundamental change with the application of cloud computing products. Every day, data analysts need to understand the geospatial impact on their data and GIS professionals are finding themselves constrained by legacy technology that can’t keep pace with increasing data volume.

Google Cloud’s geospatial analytics platform brings the full suite of Google’s Geo offerings to both sets of users to unblock workloads and free them from legacy capacity constraints.

Listen to Joe Bettridge, Consulting Lead, TELUS Insights, TELUS and Chad Jennings, Product Manager and GIS Lead, Google Cloud, and learn about Google Cloud’s uniquely powerful, full–platform solution for geospatial analytics and how organizations are using it to reduce query times from hours, days, or months to minutes. These workloads can span both structured and imagery data.

In this session, they will cover:

  • An overview of BigQuery GIS
  • Some use cases
  • Examples of algorithms TELUS is using

More Relevant Stories for Your Company


Smart analytics: Deep dive on roadmap

Data across organizations is growing and that organizations need a very strong analytics platform to leverage this data create insights and make real-time decisions on top of this data. That’s driving the advent of three large trends. First is the convergence of data lakes and data warehouses, that’s enable organizations

Case Study

AirAsia Flies High With Data Analytics and AI

AirAsia’s vision is simple: allow everyone to fly. Founded in 2001, the airline and sister company AirAsia X have grown to service 150+ destinations in 25 markets, using 274 aircraft to operate 11,000+ weekly flights from 23 hubs across the region. While the airline is known as a provider of


Architecting and building a data lake on GCP with open source tools

Creating data lakes is often the first step towards maximizing value from data by generating insights for the business. Hadoop data leaks, are today, the most common ones that are found on-premise and many of Google’s customers are moving these to the Google Cloud Platform. And the trend is accelerating.

Case Study

Google Cloud’s Firebase Realtime Database and BigQuery AllowsCastbox to Ramp Up Customer Experience

Demand for spoken audio content such as podcasts remains robust despite the proliferation of video services and other entertainment options for consumers. Shibin Li, Co-founder of Castbox, credits growth of the global podcast platform to the following: speed and availability, market-leading features, the proliferation of smart devices to deliver audio content,