Cloud Environments

Let’s explore cloud environments for data science projects.

Scalable data science pipeline

To build scalable data science pipelines, it’s necessary to move beyond single machine scripts and move to clusters of machines. While this is possible to do with an on-premise setup, a common trend is using cloud computing environments to achieve large-scale processing. There are a number of different options available, with the top three platforms currently being Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

Most cloud platforms offer free credits for getting started. GCP offers a $300\$ 300 credit for new users to get hands-on with their tools, while AWS provides free-tier access for many services.

In this course, we’ll get hands-on with both AWS and GCP with little to no cost involved.

Get hands-on with 1200+ tech skills courses.