This video focuses on adding metadata to a job within the Studio to be displayed within the Talend Integration web application.

In this session, we will show the common failure points and how you can build scalable, interactive, insightful dashboards in Data Studio from BigQuery data.

Today we'll unpack how three of the world's largest producers of data - Oath, Spotify, and Twitter - leverage Google BigQuery for their essential analytics needs.

In this session we’ll discuss various options and best practices to implement BigQuery as a central data warehouse for your enterprise. Topic will include best practices for data storage, slot allocation, data access policies, project hierarchy, etc.

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.

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.