How to Build Solutions on Google Cloud Platform
Learn how to use Google Cloud Platform products, services, and other features to build end-to-end solutions.
Financial Services
Last updated December 17, 2015.
Analyzing Financial Time Series using BigQuery
February 2015
Perform time-series analysis of historical spot-market data with BigQuery and visualize the results.
Monte Carlo Methods using Google Cloud Platform and Apache Spark
March 2015
Cloud Platform and Apache Spark provide infrastructure and capacity that you can use to run Monte Carlo simulations. Monte Carlo methods can help answer a wide range of questions in business, engineering, science, mathematics, and other fields. For example, financial planners use Monte Carlo methods to predict how an investment in the stock market might perform. Learn to use Python and Scala to define Monte Carlo simulations and then run them across clusters of servers that scale on demand.
Cloud Bigtable Schema Design for Time Series Data
April 2015
This guide takes you into the depths of schema design for Cloud Bigtable, with a walk through of designing tables using time-series financial market data. Take this and use the patterns and lessons to design your systems so that you can reap the biggest benefit from this technology for your use cases and workloads.