Systems | Development | Analytics | API | Testing

Predictive Analytics with BigQuery ML.

Fiona Zhao, Senior Data Scientist at Geotab, shares insights on how you can utilize data to better your workflow, make intelligent decisions, and boost efficiency. Geotab receives about 2.1 billion data points daily from tracking fleets of vehicles’ location, fuel consumption, engine diagnostics, and safety compliance.

Google BigQuery is an easy to use, managed service for large scale analytics and now it's been enhanced with geospatial capabilities so you can analyze your data in new ways! Join Lorin and Brian as they chat about the newly announced BigQuery GIS features that are currently in Beta.

Mete Atamel (@meteatamel) shows how you use BigQuery with C#.

Join us for an exciting session into the newly announced BigQuery ML, a capability inside Google BigQuery that allows data scientists and analysts to build and deploy machine learning models on massive structured or semi-structured datasets.

Join Developer Advocate Felipe Hoffa and the the CTO of Nomanini - Dale Humby - to learn more about how they use App Engine, Kubernetes, BigQuery and other GCP tools.

This lab explores some of the bigger concepts and smaller work required to migrate data from an existing (on-premises) data warehouse solution to GCP.

In this video, Lak Lakshmanan, Tech Lead, Professional Services, shows you a new feature that makes analyzing and visualizing geospatial data in BigQuery easy and highly performant. BigQuery GIS provides a convenient, powerful way to incorporate spatial information in your decision making.

Learn how the top research universities are utilizing tools such as Google Compute Engine, BigQuery, and preemptible virtual machines to drastically reduce the time from idea to discovery, run millions of simulations at lightning-fast speed, and scale research capabilities with ease.

In this session, we willl talk about the high level data architecture at Traveloka, Southeast Asia's leading online travel company. There are many existing solutions for big data analytics, both offered as managed services or open source. At Traveloka, we are going as serverless as possible.