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.

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.

The top 5 analysts in the BI space

Out of the hundreds of BI analysts I’ve interacted with over the years, there are five that stand out as exceptional. To me, they stand out as the big-picture thinkers who have a clear passion for the BI space. Rather than just thinking mechanically about vendors, they’re focused on the broader role and evolution of data analytics and BI as a whole. This is my list of the top five data analysts to follow.