Systems | Development | Analytics | API | Testing

Google BigQuery

What's happening in BigQuery: integrated machine learning, maps, and more

In this month’s installment of What’s Happening in BigQuery, we’re sharing new features intended to make your life easier: some make BigQuery more performant and more cost effective, while others, like BigQuery ML, enable groundbreaking analysis tools in a cloud data warehouse that’s a first of its kind. First off, we just finished Next ‘18, our annual event focused on all things cloud.

Serverless Big Data Analytics at Traveloka (Cloud Next '18)

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.

Serverless Data Warehouses Powered by Google Cloud Platform (Cloud Next '18)

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.

Firebase & BigQuery - Do Mobile App Analytics Easily & at Scale - Queries Included (Cloud Next '18)

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.

Data and Analytics Platform Overview and Customer Examples (Cloud Next '18)

Using examples from the finance and retail industries we will walk through the core products in GCP data platform. The session will cover BigData analytics services such as: BigQuery, Dataflow, Pub/Sub, Dataproc, Dataprep, Datalab, and Datastudio.