Tag: cloud computing

Loading data into Google Colab

Google Colab (or Colaboratory) is a complete, modern, cloud-based runtime environment. It gives individuals and teams the ability to work together on coding, data science and machine learning problems with shared access to data, state of the art GPU's and TPU's, and industry standard Python libraries. You are provided with an executable document, i.e. a notebook much like a Jupyter Notebook, that allows both code and markdown to be written and executed, and your results visualized. In this article I'll cover one of the most fundamental requirements all teams will face - how to get data into your Colab notebook in the first place!

Getting started with Amazon Web Services

Amazon Web Services (AWS) was the most popular Cloud provider available through the first quarter of 2022, controlling 33% of the entire market; beating Microsoft Azure and it's 21% share. Both organizations and individual developers use cloud services from AWS, Microsoft, and other vendors for machine learning, data analytics, cloud native development, application migration, and many other services. In this short article I'll discuss how to setup your own AWS account, as the root user, then how to create your first IAM admin user, before finally introducing some of the main services that standout as the most useful through a data scientists career.

Fundamentals of Cloud Computing

Cloud computing has come to dominate how most modern day internet and mobile based applications, as well as many other compute and data services, are delivered and maintained. In this article I'll discuss some of the fundamental concepts of cloud computing - without focusing on any particular cloud service provider. I will also discuss enough of the differences between the different categories, types, development, and service models of cloud computing to help you take your first steps into this computing domain.