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Analytics

Computing with Power Not Previously Possible with BigQuery & Compute Engine (Cloud Next '18)

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.

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.

BigQuery Nested and Repeated Fields: Dig Deeper into Data (Cloud Next '18)

Are you ready to take your knowledge of SQL to its final frontiers? Join this session to learn how you can use BigQuery and its SQL 2011 compliant features to tap deep into insights locked away in your spreadsheets, JSON files, and other semi-structured data formats.