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Category: Cloud Computing

Cloud Data Management: Techniques, Challenges, and Best Practices

Cloud Data Management: Techniques, Challenges, and Best Practices

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Cloud Data Management is a critical aspect that ensures the efficient storage, retrieval, processing, and security of data across distributed cloud environments. With the increasing volume of digital data, traditional storage systems are no longer sufficient. Cloud computing provides scalable and distributed solutions for managing data efficiently, integrating technologies such as Hadoop Distributed File System (HDFS), Google File System (GFS), and Microsoft Dryad/SCOPE. The detailed tutorial can be accessed here. 1. Key Concepts of Cloud Data Management Cloud data management…

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Hypervisors in Cloud Computing

Hypervisors in Cloud Computing

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A hypervisor, also known as a virtual machine monitor (VMM), is a critical software layer in virtualization technology. It allows multiple virtual machines (VMs) to run on a single physical hardware system by managing and allocating resources such as CPU, memory, and storage to each VM. Hypervisors ensure that each VM operates independently, with isolated environments, while sharing the underlying hardware. Imagine you have a single powerful computer, and you want to run multiple operating systems like Windows, Linux, and…

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Cloud Computing Architectures and Deployment Models

Cloud Computing Architectures and Deployment Models

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Cloud Computing Architectures Cloud computing architecture refers to the various components and technologies that work together to deliver cloud-based services. These architectures define how computing resources are organized, managed, and delivered over the Internet. The main components of cloud architecture include front-end and back-end platforms, cloud-based delivery models, and networking infrastructure. You can visit the detailed course on cloud computing here. Visit the detailed tutorial here. Front-End Architecture This is the client-side interface that allows users to interact with cloud…

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Virtualization in Cloud Computing

Virtualization in Cloud Computing

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Imagine you have a powerful personal computer at home. You are a single person, and you can utilize it up to a maximum of 30%, while the remaining 70% of the resources are wasted. How can you make full use of your computer’s potential? Introduction to Virtualization Virtualization is a technology that allows multiple virtual environments to run on a single physical hardware system. It works by abstracting hardware resources such as CPU, memory, and storage, creating virtual versions of…

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Introduction to Cloud Computing

Introduction to Cloud Computing

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Cloud computing is a technology paradigm that enables users to access computing resources—such as servers, storage, databases, networking, software, and more, over the internet instead of maintaining physical hardware. These resources are on-demand, scalable, and cost-effective, making cloud computing a vital component of modern IT infrastructure. The full tutorial can be accessed here. Key Characteristics of Cloud Computing On-Demand Self-Service Cloud computing allows users to provision computing resources automatically without requiring human intervention. This feature enables users to scale resources…

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Cloud Computing Explained: Introduction, Technologies, Applications & Challenges

Cloud Computing Explained: Introduction, Technologies, Applications & Challenges

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We encounter cloud computing every day. For instance, if you use an Android phone, your photos and videos are likely backed up to a cloud service like Google Drive. Similarly, if you use Microsoft OneDrive, your data is copied to the cloud. Cloud computing also supports our email services, social media, and messaging apps like WhatsApp. But what exactly is cloud computing? Cloud computing can be defined as a utility service. Just like electricity, gas, or water, cloud computing provides…

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Introduction to Parallel and Distributed Computing

Introduction to Parallel and Distributed Computing

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Imagine you’re sitting at home, streaming your favourite videos on YouTube while millions of others across the globe are doing the same. Ever wondered how YouTube can handle such a massive load seamlessly? The answer lies in parallel and distributed computing. YouTube’s workload is distributed among servers worldwide, and within these servers, data is processed in parallel. This efficient distribution and parallel processing allow millions of users to enjoy YouTube’s content instantly, showcasing the power and effectiveness of parallel and…

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