Summary
In this chapter, we discussed the requirements for deploying enterprise-scale data science infrastructures, both at a software as well as a hardware level. We shared key common questions around such initiatives at a management level. This was followed by an extensive section on key enterprise solutions that are being used for data mining and machine learning in large organizations.
The tutorial involved launching an RStudio Server on Amazon Web Services (a cloud-based system). AWS has become the leading provider of cloud services in the world today, and the exercise showed how simple it can be to launch entire machines in a few seconds. Appropriate pros and cons about the judicious and careful use of AWS to prevent very expensive charges were mentioned.
The next and final chapter will include some closing thoughts, the next steps, and links to useful resources you can use to learn more about the topics that have been discussed in this book.
