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Cloud Computing

Cloud Computing

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Cloud Computing

As cloud adoption accelerates and data becomes a critical business asset, this course focuses on two core pillars of modern cloud computing: database technologies and Infrastructure as a Service (IaaS). You will explore how leading cloud providers such as AWS, Azure, and GCP deliver database services (DBaaS), covering their technical foundations, real-world use cases, benefits, limitations, and evolution. The course also dives into the IaaS model, explaining how organizations transform traditional IT infrastructure into scalable utility-based services. By understanding key cloud concepts, IaaS building blocks, use cases, pricing models, and trade-offs, you will gain the ability to choose the right database technology for specific business needs and confidently understand the role of IaaS in cloud computing.

Why Cloud Computing?

Cloud computing enables businesses to access computing resources on demand without investing in physical infrastructure. It offers scalability, cost efficiency, high availability, and faster deployment, allowing organizations to innovate quickly, store and analyze data securely, and adapt to changing business needs with ease.

Who should take the Cloud Computing Exam?

  • Cloud Developers
  • Software Engineers
  • System Architects
  • DevOps Engineers
  • Technical Project Managers

Cloud Computing Course Outline

Introduction to the Course

  • Data is Everywhere
  • Our Learning Objectives

Basic Database Terminology

  • Overview
  • DBMS, Database Instance and Schema
  • Operational Data and OLTP
  • Analytics Data and OLAP
  • Data Warehouse and Data Lake
  • ETL and ELT
  • Batch and Stream Processing
  • Scaling Up and Out

Database Technologies – What, Where, and Why?

  • Overview
  • Traditional Relational Database (SQL)
  • Non-relational Database (NoSQL)
  • Distributed SQL Database (NewSQL)
  • In-memory Database (IMDB)
  • Time Series Database (TSDB)

Types of NoSQL Databases

  • Overview
  • #1 - Key-value Database
  • #2 - Document Database
  • #3 - Wide Column Database
  • #4 - Graph Database
  • Databases Ranking Review

Database as a Service (DBaaS)

  • Overview
  • The Challenges of Traditional Databases
  • The Concept of DBaaS
  • The Advantages of DBaaS
  • Azure - DBaaS Portfolio Review
  • AWS - DBaaS Portfolio Review
  • GCP - DBaaS Portfolio Review

Summary

  • Quick Recap and Thank You!

Getting Started

  • Welcome
  • Our Learning Objectives

Cloud Computing

  • Welcome to the World of Cloud Computing
  • Private vs Public
  • Hybrid-cloud and Multi-cloud
  • Hyperscale Cloud Service Providers
  • Cloud Service Models
  • SaaS - Software as a Service
  • IaaS – Infrastructure as a Service
  • PaaS – Platform as a Service
  • FaaS – Function as a Service
  • Demo - AWS, Azure, GCP

Virtualization Technologies

  • Introduction
  • Underutilized Physical Servers
  • Virtualization with Virtual Machines
  • Vertical and Horizontal Scaling
  • Microservices and Cloud-Native Apps
  • Virtualization with Containers
  • The Benefits of Containers

Introduction to Infrastructure as a Service (IaaS)

  • Introduction and Overview
  • IaaS - Transform IT to Utility
  • Compute, Storage and Networking
  • Demo - IaaS Solution with Microsoft Azure
  • Pricing Models
  • Main Advantages
  • Disadvantages
  • Typical Market Use Cases

Course Summary

  • Let's Recap and Thank You!

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Cloud Computing FAQs

The most popular cloud platforms include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and IBM Cloud. These platforms provide a range of services like computing power, storage, networking, and machine learning tools for developers and businesses.

Cloud providers invest heavily in security features, including encryption, firewalls, multi-factor authentication, and data backup, ensuring the protection of sensitive data. Cloud computing also allows businesses to meet compliance requirements with regulatory standards for data protection.

Common career paths in cloud computing include Cloud Architect, Cloud Engineer, Cloud Administrator, Cloud Security Analyst, and Cloud Consultant. These roles involve managing cloud infrastructure, ensuring security, and optimizing cloud services for businesses.

With the increasing adoption of cloud services, job prospects in cloud computing are very strong. Cloud computing is one of the fastest-growing fields in IT, with demand for skilled professionals expected to rise significantly over the next decade, offering competitive salaries and career advancement opportunities.

Cloud computing streamlines business operations by offering scalable infrastructure, reducing the need for on-premise hardware, and providing access to a wide range of tools and software that improve collaboration, productivity, and data analysis.

Cloud computing is being adopted across diverse industries, including healthcare, finance, education, retail, and manufacturing. It allows businesses to scale operations, enhance data management, improve security, and reduce infrastructure costs.

Cloud computing is the delivery of computing services like storage, processing, and software over the internet, allowing businesses and individuals to access resources on demand. It works by hosting data and services on remote servers that can be accessed via the internet, making it scalable, flexible, and cost-effective for users.

Public clouds are operated by third-party providers and shared by multiple users, private clouds are dedicated to a single organization, offering more control and security, and hybrid clouds combine both, enabling businesses to use private clouds for sensitive data while leveraging public clouds for scalability.

The main types of cloud service models are SaaS (Software as a Service), IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and FaaS (Function as a Service). Each model offers different levels of control and flexibility, catering to varying business needs

Key skills for cloud computing careers include proficiency in cloud platforms such as AWS, Azure, and Google Cloud, knowledge of virtualization, networking, and security, experience with databases and storage solutions, as well as familiarity with automation tools and scripting languages like Python and Bash.