Cloud Computing Security Fundamentals| Module 5.4 | Surfalytics
Learn the security essentials every data engineer and analyst MUST know. This lesson covers the shared responsibility model, secret management, IAM, encryption, and hands-on demos with AWS Secret Manager and Azure Key Vault. 🎯 What You'll Learn: THEORY: • Shared responsibility model: who secures what • Data breaches: 22+ billion records exposed in 2020 • Security mechanisms: encryption, IAM, SSO, secret management • Security best practices for data professionals HANDS-ON: • AWS Secret Manager: store passwords and API keys securely • Azure Key Vault: alternative secret management service • IAM roles, policies, and trust relationships • S3 encryption: server-side encryption methods • Azure access control: service users and app registrations 📖 This is part of my FREE Data Engineering course at Surfalytics - perfect for beginners with little cloud experience. ⏱️ TIMESTAMPS: 0:18 - Introduction to cloud security fundamentals 1:42 - Quote: "Only truly secure system is powered off" 3:06 - Cloud security and shared responsibility model 4:54 - Data breaches: 22+ billion records exposed 5:55 - Security threats and mechanisms explained 7:10 - Security in the cloud: policies, encryption, monitoring 8:19 - AWS Secret Manager: storing passwords securely 18:09 - Azure Key Vault: alternative secret management 19:11 - IAM roles, policies, and trust relationships 22:52 - Encryption: AWS KMS and S3 encryption 24:28 - Azure access control and service users 29:00 - Wrap up and next lesson preview 🔗 Resources Mentioned: • AWS Secret Manager • Azure Key Vault • AWS IAM Documentation • Password Vaults: 1Password, Bitwarden • Microsoft Cloud Adoption Framework 💡 Key Takeaways: • Never store secrets in plain text - use Secret Manager/Key Vault • Shared responsibility: vendor secures infrastructure, you secure data • Rotate credentials every 90 days (default practice) • Use IAM roles instead of access keys when possible • Enable encryption by default for all data storage • Block public access by default on S3 buckets ================= 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