Throughout the book, I will conclude the chapter with a list of online resources that recap or go beyond what was discussed in the chapter:

• Many excellent articles on the GCP use for big data can be found on the Google big data blog at https://cloud.google.com/blog/big-data/.
• What are the GCP services? Reto Meier, software engineer at Google, describes the different Google Cloud services in a simple way (for more information, see https://hackernoon.com/what-are-the-google-cloud-platform-gcp-services-285f1988957a). This is very useful for grasping the diversity of the GCP services.
• An Annotated History of Google’s Cloud Platform is another post by Reto Meier on the history of the GCP. You can find it at: https://medium.com/@retomeier/an-annotated-history-of-googles-cloud-platform-90b90f948920. It starts with the bullet point: Pre 2008 — Computers invented. Google Founded.... A much more detailed timeline of the GCP is available on Crunchbase at https://www.crunchbase.com/organization/google-cloud-platform/timeline#/timeline/index.
• The evolution of computing power, also known as Moore's law, is available at http://www.cs.columbia.edu/~sedwards/classes/2012/3827-spring/advanced-arch-2011.pdf, and a more recent version where the seven most recent data points are all NVIDIA GPUs is available at https://en.wikipedia.org/wiki/Moore%27s_law#/media/File:Moore%27s_Law_over_120_Years.png.
• For more on the pricing war of the three main cloud platforms, see this article: Cloud Pricing Trends: Get the White Paper, Rightscale, 2013, at https://www.rightscale.com/lp/cloud-pricing-trends-white-paper.
• A good article on Supercomputing vs. Cloud Computing by David Stepania can be found at https://www.linkedin.com/pulse/supercomputing-vs-cloud-computing-david-stepania/.