Systems | Development | Analytics | API | Testing

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.

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.

In this session, you'll learn about the latest security threats to APIs from malicious bots and how to protect your business, partners, and customers.

Come and learn how to think about the RPC/REST dichotomy and understand the problems and solutions of quality API design—regardless of the model chosen. We will also present some of the major GCP services and tools that are used to implement APIs in both models.

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.