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.

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.

Join us for an interactive workshop in which we'll lead you through deploying a complete data analytics application, from collecting events from a web/mobile app, all the way to processing streaming data and getting the insights promptly.

Topmost challenges that data warehouses have faced over the years are coping with storage requirements for ever-growing data and increased demand for compute to process this data. Google Cloud Platform has enabled creation of a completely serverless, scalable, flexible, and resilient data warehouse at Vuclip.

In this session, we'll explain how your analytics data is stored in BigQuery and then show you some important tips on working with this data as we create queries to answer your burning mobile analytics questions.

In 2017, Tapjoy migrated Vertica and Hadoop from our on-premises data center into Google Cloud BigQuery and Google Compute Engine. We'd like to share our journey and lessons learned on migration to BigQuery and GCE.