Products related to Cloud:
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Managing Cloud Native Data on Kubernetes : Architecting Cloud Native Data Services Using Open Source Technology
Kubernetes has become the primary platform for deploying and managing cloud native applications.But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging.If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll discover open source technologies that are designed and built for the cloud.Delve into case studies to avoid the pitfalls others have faced and explore new use cases.Get an insider's view of what's coming from the innovators who are creating next-generation architectures and infrastructure. And you'll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more
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Cloud Computing Technology
This open access book introduces cloud computing and related technologies from the concept, technology, and architecture of cloud computing, combined with typical application cases of cloud; provides students with a more complete knowledge framework in the field of cloud computing; and lays the foundation for future research, development, and further study in cloud computing, big data, and other related fields. As the world's leading provider of ICT (information and communication technology) infrastructure and intelligence terminals, Huawei's products are already available in a number of areas, including connectivity, security, wireless, storage, cloud computing, intelligent computing, and artificial intelligence.
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Global Digital Technology Convergence : Driving Diffusion via Network Effects
Since the 1970s, we have witnessed unprecedented diff usion of digital technologies in both speed and geographic coverage.These technologies are pervasive and disruptive, and lead to profound shifts and transformations in societies and economies.Many claim that emerging network externalities are the principal phenomenon driving the process of technology diff usion and determining its in-time dynamics. This book analyzes the unique role network eff ects play in the process of digital technology diff usion.Using the time span of 1980–2022 and data from over 180 countries, the authors examines the strength and determinants of emerging network externalities in the process of digital technology diffusion across the world.Moreover, using international case studies it traces the process of technology convergence and technology convergence club formation, intending to answer whether cross-country gaps are diminishing or rather growing, and if countries form unique ‘clubs’ within which a rapid convergence occurs. Global Digital Technology Convergence is written for scholars and researchers in the fi elds of technology and innovation management, information and communication technology, economic development and the economics of innovation.
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Cloud Native Transformation : Practical Patterns for Innovation
In the past few years, going cloud native has been a big advantage for many companies.But it’s a tough technique to get right, especially for enterprises with critical legacy systems.This practical hands-on guide examines effective architecture, design, and cultural patterns to help you transform your organization into a cloud native enterprise—whether you’re moving from older architectures or creating new systems from scratch. By following Wealth Grid, a fictional company, you’ll understand the challenges, dilemmas, and considerations that accompany a move to the cloud.Technical managers and architects will learn best practices for taking on a successful company-wide transformation. Cloud migration consultants Pini Reznik, Jamie Dobson, and Michelle Gienow draw patterns from the growing community of expert practitioners and enterprises that have successfully built cloud native systems.You’ll learn what works and what doesn’t when adopting cloud native—including how this transition affects not just your technology but also your organizational structure and processes. You’ll learn:What cloud native means and why enterprises are so interested in itCommon barriers and pitfalls that have affected other companies (and how to avoid them)Context-specific patterns for a successful cloud native transformationHow to implement a safe, evolutionary cloud native approachHow companies addressed root causes and misunderstandings that hindered their progressCase studies from real-world companies that have succeeded with cloud native transformations
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"May cloud providers delete my data?"
Yes, cloud providers have the ability to delete your data. This can happen if you violate the terms of service, fail to pay for the service, or if the provider experiences a technical issue that results in data loss. It's important to carefully review the terms of service and understand the provider's data retention and deletion policies to ensure that your data is protected. Additionally, it's a good practice to regularly back up your data to mitigate the risk of data loss.
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Can cloud providers delete my data?
Yes, cloud providers have the ability to delete your data. When you store data with a cloud provider, you are essentially entrusting them with the responsibility of managing and maintaining that data. This means that they have the authority to delete your data if necessary, such as in the case of a violation of their terms of service or if you fail to pay for the service. It's important to carefully review the terms of service and understand the provider's data retention policies to ensure that your data is protected. Additionally, it's a good practice to regularly back up your data to prevent any potential loss.
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What is the Western Digital My Cloud HDD?
The Western Digital My Cloud HDD is a network-attached storage (NAS) device that allows users to store and access their files and data from anywhere with an internet connection. It provides a centralized storage solution for homes and small businesses, allowing users to easily back up and access their files from multiple devices. The My Cloud HDD also offers features such as automatic backup, file syncing, and remote access, making it a convenient and secure storage solution for personal and professional use.
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Do cloud services save my internet history?
Cloud services do not typically save your internet browsing history unless you specifically choose to store that information in the cloud. Cloud services are more commonly used for storing files, photos, and other data that you choose to upload or sync to the cloud. Your internet browsing history is usually stored locally on your device or by your internet service provider.
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Cloud Native Transformation: Practical Patterns for Innovation
Cloud Native Transformation: Practical Patterns for Innovation
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Designing Cloud Data Platforms
Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms.Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud.As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams.You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it. about the technologyAccess to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud.But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations. Designing Cloud Data Platforms lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization's data, and present it as useful business insights. about the bookIn Designing Cloud Data Platforms, you’ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform.Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs.Starting with foundational principles, you’ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors.As you progress past the basics you’ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more. what's inside The tools of different public cloud for implementing data platformsBest practices for managing structured and unstructured data setsMachine learning tools that can be used on top of the cloudCost optimization techniques about the readerFor data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark. about the authors Danil Zburivsky has over 10 years experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.
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The Cloud Data Lake : A Guide to Building Robust Cloud Data Architecture
More organizations than ever understand the importance of data lake architectures for deriving value from their data.Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights. This book provides a concise yet comprehensive overview on the setup, management, and governance of a cloud data lake.Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance. Learn the benefits of a cloud-based big data strategy for your organizationGet guidance and best practices for designing performant and scalable data lakesExamine architecture and design choices, and data governance principles and strategiesBuild a data strategy that scales as your organizational and business needs increaseImplement a scalable data lake in the cloudUse cloud-based advanced analytics to gain more value from your data
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Google Cloud Platform (GCP) Professional Cloud Network Engineer Certification Companion : Learn and Apply Network Design Concepts to Prepare for the Exam
While many guides exist to help software engineers learn cloud networking design and architecture concepts, and even prepare for cloud network certifications on AWS and Azure, far fewer resources are available covering the Google Cloud Platform (GCP) Professional Cloud Network Engineer certification exam.Well, look no further! This self-paced guide book is designed to help engineers learn cloud networking best practices on GCP, and prepare for the GCP Professional Cloud Network Engineer certification exam. You will waste no time when you use this study companion.It lets you dive in and learn how GCP differs from other public cloud providers (AWS and Microsoft Azure).You will understand GCP's unique ability to allow virtual private clouds (VPCs) that span across multiple regions.You will know how to leverage GCP as a competitive advantage in the IT engineering community.Key concepts covered on the exam are called out and applied in each chapter of this book, giving you both practice and reinforcement, a far more effective learning tool than rote learning or similar approaches typically enlisted in exam preparation. Enterprises are looking for developers with Google networking skills.Now is the time to skill up! This book shows you how to leverage GCP’s developer-focused, user-friendly approach to understand how the networking components enabling the popular 1B-user Google products (e.g., Gmail, Google Search, YouTube, Google Workspace (formerly G-Suite), Google Maps, Google Photos, and many others) work behind the scenes. What You Will LearnIn addition to preparing for the GCP Professional Cloud Network Engineer certification exam, you will learn how to:Architect and design a virtual private cloudImplement a virtual private cloudConfigure network servicesImplement hybrid connectivityImplement network securityManage network operationsOptimize network resourcesWho This Book Is ForSoftware engineers (network, DevOps, SecOps, DataOps, engineers skilled with SDLC), software architects (solution, security, data, infrastructure, cloud, those skilled with TOGAF), and IT professionals.Prerequisites: While this study companion is intended to be self-contained, a basic knowledge of cloud computing along with hands-on experience with a minimum of two modern programming languages (Java, C#) is beneficial in order for readers to fully achieve the objectives of the book.
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How can one store data in a cloud?
One can store data in a cloud by using cloud storage services provided by companies such as Google Cloud, Amazon Web Services, or Microsoft Azure. These services allow users to upload their data to remote servers maintained by the cloud service provider. Users can access and manage their data through a web-based interface or API. Data stored in the cloud is typically replicated across multiple servers to ensure redundancy and availability.
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What are end-to-end software and cloud technology solutions?
End-to-end software and cloud technology solutions refer to comprehensive and integrated systems that cover the entire process or lifecycle of a particular software or technology need. This means that these solutions encompass everything from initial design and development to deployment, maintenance, and ongoing support. End-to-end solutions are designed to streamline and simplify the entire process, providing a seamless and cohesive experience for users. This can include cloud-based services that offer a complete package of tools and resources to meet a specific business or technological need.
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Is the internet good enough for cloud gaming?
The internet can be good enough for cloud gaming, but it depends on the quality and speed of the connection. For a smooth gaming experience, a high-speed internet connection with low latency is essential. If the internet connection is unreliable or slow, it can result in lag, buffering, and poor graphics quality, which can negatively impact the gaming experience. Therefore, having a strong and stable internet connection is crucial for optimal cloud gaming performance.
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Why are data automatically packed into the cloud, MacBook?
Data is automatically packed into the cloud on a MacBook for several reasons. First, it allows for easy access to files from any device with an internet connection, providing flexibility and convenience. Additionally, storing data in the cloud provides a backup in case of hardware failure or loss. It also enables collaboration and sharing of files with others. Finally, cloud storage can help free up space on the MacBook's local storage, improving performance and efficiency.
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