Cloud Computing Fundamentals| Module 5.2 | Surfalytics

This lesson covers cloud computing fundamentals with a focus on data analytics and data engineering. The video explains cloud history, terminology, and business drivers, and provides hands-on demos for AWS, Azure, and GCP, including creating virtual machines and understanding networking basics. 📚 Main Topics Covered: ☁️ What is cloud computing (Instagram, Netflix, Obama examples) 📜 History from 1961 to 2006 AWS EC2 💰 Business drivers: capacity planning, cost, agility ⚠️ Risks: security, GDPR, HIPAA 🔧 Technology: clustering, virtualization, hypervisor 🛠️ Hands-on: VMware, AWS VPC/EC2, Azure VM, GCP BigQuery 🎯 Key Takeaway: Focus on one cloud platform, master it through hands-on practice, and maintain a growth mindset—the learning never stops in tech. ⏱️ THEORY SECTION 0:20 - Introduction to cloud computing for data analytics 1:01 - What is cloud: "There is no cloud, it's just someone else's computer" 1:27 - Instagram case study: scaling from 0 to 1 billion users 2:52 - Netflix case study: migration from on-premise to AWS 3:38 - Obama 2012 campaign: 200+ apps for $500K with pay-per-use 5:00 - Brief history of cloud computing 5:20 - 1961 prediction: computing as public utility 6:25 - 1969 ARPANET and computer utilities vision 6:49 - Mid-90s: Google, Facebook, and modern cloud 7:13 - 2002: Amazon Web Services launch 7:20 - 2006: AWS EC2 virtual machines for rent 8:02 - Cloud terminology: Gartner and Forrester definitions 9:05 - NIST definition of cloud computing 9:40 - Business driver: capacity planning 10:50 - Business driver: cost reduction 11:42 - Business driver: organization agility (Canadian Tire example) 12:44 - Risks: security, GDPR, HIPAA, PCI compliance 13:27 - Technology: clustering and failover 13:53 - Technology: grid computing 14:13 - Technology: virtualization and hypervisor 15:16 - Terminology: cloud vs on-premise 15:47 - Cloud characteristics: on-demand, elasticity, multi-tenancy 17:14 - Broadband networks and underwater cables 17:54 - Virtualization architecture explained 🛠️ HANDS-ON SECTION 20:35 - Starting hands-on demos 20:41 - VMware Fusion: running Windows on Mac 22:02 - Use case: learning Teradata and Hadoop locally 23:19 - VM challenges and why containers are preferred 24:17 - PowerBI Desktop on Windows VM demo 25:45 - AWS, Azure, GCP free tier overview 27:47 - Azure free tier: $200 credit 28:20 - Google Cloud free tier: $300 credit 28:58 - How to choose which cloud to learn 30:08 - Regional preferences: GCP, AWS, Azure 31:00 - AWS portal walkthrough 32:01 - VPC: Virtual Private Cloud explained 33:03 - CIDR notation for IP ranges 34:00 - Subnets, route tables, internet gateway 35:22 - Security groups (firewall rules) 36:01 - AMI: Amazon Machine Images 37:08 - Spot instances for cost optimization 37:36 - Key pairs: public and private keys 38:28 - Creating key pair in AWS demo 39:25 - Viewing private key in terminal 40:43 - Generating public key from private key 41:03 - Launching EC2 instance step-by-step 42:20 - Connecting to EC2 via SSH 43:41 - Azure portal: subscriptions and resource groups 45:24 - Creating virtual machine in Azure 49:10 - Azure deployment with ARM templates 50:08 - GCP: projects, BigQuery, Looker overview 51:26 - Connecting to Azure VM with RDP 53:40 - Utility metrics: pay only when running 54:05 - Wrap up and next steps recommendation ================= What is Surfalytics? Inspired by West Coast surfing spots 🏖️ and Pacific Ocean vibes 🌊. Created to help you start a new career in the data analytics space, and develop data engineering and analytics skills through coaching. It will teach you not just dry skills, but will keep your focus on delivering significant value to businesses in the analytics realm as well as help to get fair compensation 💰 for the work you’re passionate about ❤️‍🔥. The goal of Surfalytics is to assist you in achieving one of the following: 🏄‍♂️ Land your first job in the data industry with literally zero experience. I have accomplished this many times across the globe. 🏄 Advance from a middle-level role to a senior position (as an Analyst or Engineer). 🏄‍♀️ Transition from a non-technical Analyst role to a technical Engineer role. Moreover, we will focus on creating a highly competitive CV and securing top job offers. We will not consider any lowball offers, focusing only on top-tier companies and well-paid opportunities. Finally, Surfalytics is a results-driven community with a very narrow focus, resulting in a high return on investment (ROI). Here, ‘investment’ does not mean money but your time. I am literally fighting for your attention to encourage you to study and work hard, instead of watching Netflix or playing video games. Want to be part of our growing community? Join on https://surfalytics.com/ #surfalytics #dmitryanoshin #datacommunity #freecourses #dataanalysis #dataengineering #roadmap #careerpath #mindmaps #tools #overview #dataanalysttips