Systems | Development | Analytics | API | Testing

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Diving into Your Billing Data with BigQuery and DataStudio (Cloud Next '18)

Many large organizations build custom dashboards and reporting around their cloud usage to track that usage across teams and applications, and to understand cost drivers. In this session, the Billing team and Vendasta will show you how to export your detailed billing data to BigQuery, write useful queries around that data, and create custom dashboards based on those queries in Data Studio.

How BuzzFeed Built A Great Data Experience Using BigQuery and Looker (Cloud Next '18)

This talk will focus on how BigQuery and Looker allowed a small data team at Buzzfeed to manage the data needs of 800 users, and how migrating from AWS Redshift to BigQuery gave us the performance we needed to allow interactive querying of large datasets by non-technical people.

API Management Best Practices (Cloud Next '18)

Building one API is hard enough, but building an entire API program is even harder. In this session, we will share the ins and outs of building an amazing API program and best practices for API management. We will explore technical considerations such as security and traffic management, as well as business concerns such as creating a top notch developer experience to monetizing APIs.

Bridging the gap between data and insights

Today, we want to share a number of updates that will make data analytics easier and more accessible to all businesses. Our goal is to help you focus on data analysis instead of infrastructure management, give you the freedom to orchestrate workloads across clouds, use machine-learning in a way that's integrated with your data analytics operations, and take advantage of open source data processing innovation.