Provide detailed answers with scenario for below questionsCloud Operations Architecture Interview Questions:1. How would you implement Infrastructure as Code (IaC) in a cloud environment?Scenario: Using Terraform to manage AWS resources, enabling version control and reusable configurations.2. Describe your approach to cost optimization in cloud solutions.Scenario: Using AWS Cost Explorer to identify underutilized resources and implement... Continue Reading →
GCP ZERO TO HERO
Do you have the knowledge and skills to design a mobile gaming analytics platform that collects, stores, and analyzes large amounts of bulk and real-time data? Well, after reading this article, you will. I aim to take you from zero to hero in Google Cloud Platform (GCP) in just one article. I will show you... Continue Reading →
Data Scientist Roadmap
How I would relearn Data Science In 2024 to get a job: Getting Started: ⬇️ - Data Science Intro: DataCamp- Anaconda Setup: Anaconda Documentation Programming: - Python Basics: Real Python- R Basics: R-bloggers- SQL Fundamentals: SQLZoo- 六 Java for Data Science: Udemy - Java Programming and Software Engineering Fundamentals Mathematics:... Continue Reading →
AWS Solution Architect in 2 months – Road Map
8-week journey toward becoming an AWS Solutions Architect AssociateHere's the breakdown:🚀 Week 1: AWS Fundamentals- Introduction to AWS: Discover the basics and the core services that form the backbone of AWS- AWS Free Tier Account: Learn how to set up an account to leverage AWS's free offerings.- AWS Management Console: Navigate the user interface to... Continue Reading →
Big Data Learning Resources
Complete Plan to learn Big Data Step by Step (All Free resources Included) by Sumit Sir.1. Learn SQL Basics - https://lnkd.in/g9NEJMVESQL will be used at a lot of places - Hive/Spark SQL/RDBMS queriesJoins & windowing functions are very important2. Learn Programming/Python for Data Engineering - https://lnkd.in/gr6fFPdULearn Python to an extent required for Data Engineers.3. Learn... Continue Reading →
Cloud Services in one line
If you are an aspiring Data Engineer then you must know these cloud services w.r.t AWS or AZURE or GCP 👇 Save this post for future reference ...1️⃣ Amazon Web Services (AWS)🛠 AWS Data Pipeline: For creating complex data processing workloads.📊 AWS Glue: Our favourite fully managed ETL service.💾 Amazon S3: An object storage service... Continue Reading →
Google Cloud Compute Engine vs App Engine
Google Cloud Platform provides a wide range of computing services that target broad categories of user needs. The Google Cloud Platform provides mainly 6 types of compute options: – App Engine Compute Engine Kubernetes Engine Cloud Functions Cloud Run VMware Engine Now let’s talk about some of these services in brief. Compute Engine The Compute... Continue Reading →
Google Cloud Platform Services Summary
The complete list of services that form Google Cloud Platform is shown below. While Google offers many other services and APIs, only the services below are covered by the Google Cloud Platform terms of service, service level agreements (if applicable), and support offerings. Offerings identified below as Software or Premium Software are not Services under... Continue Reading →
AWS Certification
FREE AWS Certificate by Amazon that you can't miss in 20231. Getting Started with Data Analytics on AWS🔗https://lnkd.in/dwRhRAzM2. Practical Data Science on the AWS Cloud Specialization🔗https://lnkd.in/d3-3GZbG3. Getting Started with AWS Machine Learning🔗https://lnkd.in/dhAp-Vjh4. Introduction to Machine Learning on AWS🔗https://lnkd.in/detfDCWA5. Hands-on Machine Learning with AWS and NVIDIA🔗https://lnkd.in/dgGvATq26. AWS Fundamentals Specialization🔗https://lnkd.in/dSV9jhRz7. Building Modern Python Applications on AWS🔗https://lnkd.in/dQAinFGy8. AWS... Continue Reading →
System Design Blogs
30 Blogs to learn 30 System Design Concepts:1) Content Delivery Network (CDN): https://lnkd.in/gjJrEJeH2) Caching: https://lnkd.in/gC9piQbJ3) Distributed Caching: https://lnkd.in/g7WKydNg4) Latency vs Throughput: https://lnkd.in/g_amhAtN5) CAP Theorem: https://lnkd.in/g3hmVamx6) Load Balancing: https://lnkd.in/gQaa8sXK7) ACID Transactions: https://lnkd.in/gMe2JqaF8) SQL vs NoSQL: https://lnkd.in/g3WC_yxn9) Consistent Hashing: https://lnkd.in/gd3eAQKA10) Database Index: https://lnkd.in/gCeshYVt11) Rate Limiting: https://lnkd.in/gWsTDR3m12) Microservices Architecture: https://lnkd.in/gFXUrz_T13) Strong vs Eventual Consistency: https://lnkd.in/gJ-uXQXZ14) REST vs RPC:... Continue Reading →
CODEBOX 