Getting Started with Cloud Computing PDF Download
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Author: Edward M. Corrado
Publisher: ALA Neal-Schuman
ISBN: 9781555707491
Category : Language Arts & Disciplines
Languages : en
Pages : 0
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Book Description
Cloud computing saves time and money by enabling convenient, on-demand network access to resources like servers and applications. Libraries that take advantage of the cloud have fewer IT problems because data centers provide continuous updates and mobility that standard computing cannot easily provide.
Author: Edward M. Corrado
Publisher: ALA Neal-Schuman
ISBN: 9781555707491
Category : Language Arts & Disciplines
Languages : en
Pages : 0
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Book Description
Cloud computing saves time and money by enabling convenient, on-demand network access to resources like servers and applications. Libraries that take advantage of the cloud have fewer IT problems because data centers provide continuous updates and mobility that standard computing cannot easily provide.
Author: Nenne Adaora Nwodo
Publisher: Nenne Adaora Nwodo
ISBN: 9789966644
Category : Computers
Languages : en
Pages : 88
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Book Description
This is a foundational book for people that want a career in cloud engineering. To understand why some of these cloud engineering roles exist, we need to understand the concept of the cloud. The goal of this book is to introduce the reader to cloud computing, the different paths for cloud engineering and how to navigate a cloud engineering career. Once the reader is able to learn the concepts introduced in this book, they will be ready to take on more complicated cloud related technologies.
Author: Ravi Shankar
Publisher: Createspace Independent Pub
ISBN: 9781478130086
Category : Computers
Languages : en
Pages : 194
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Book Description
There has been extreme hype about Cloud Computing from years and this word is in headlines of IT world news. Why not? Cloud computing has revolutionized the entire paradigm of computing and technology and has helped businesses in coming closer to technology. This book covers basics of Virtualization and Cloud Computing along and also includes various practices that is followed by Major Service Providers in the current market. Virtualization is the core engine of Cloud Computing and is the base of how the services are provided to the consumers. Cloud computing procedures and techniques for supporting business processes and applications. The details of various layers of Cloud Computing - IaaS, PaaS and SaaS. The book also describes the details and differences between various deployment models of Cloud, i.e. Private Cloud, Public Cloud, Hybird & Community Cloud. The book also covers the overview of how the major service providers for all the types of cloud services in the market use various technologies and provides efficient services to the customers. The book describes features and services offered by various service providers in all the models of cloud, Infrastructure as a Services, Platform as a Service & Software as a service. The major service providers covered in this book are Amazon Web Service, VMware VCloud Director, GoGrid & Rackspace in Infrastructure as a Service. Major service providers in Platform as a Service covered in this book are Microsoft Windows Azure, Heroku, VMware CloudFoundary, Google App Engine & Force.com. Major service providers in Platform as a Service covered in the book are Microsoft Office 365, SalesForce, Workday & Google Apps.
Author: Noah Gift
Publisher: Addison-Wesley Professional
ISBN: 0134863917
Category : Computers
Languages : en
Pages : 720
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Book Description
Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: George Reese
Publisher: "O'Reilly Media, Inc."
ISBN: 0596555482
Category : Computers
Languages : en
Pages : 208
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Book Description
If you're involved in planning IT infrastructure as a network or system architect, system administrator, or developer, this book will help you adapt your skills to work with these highly scalable, highly redundant infrastructure services. While analysts hotly debate the advantages and risks of cloud computing, IT staff and programmers are left to determine whether and how to put their applications into these virtualized services. Cloud Application Architectures provides answers -- and critical guidance -- on issues of cost, availability, performance, scaling, privacy, and security. With Cloud Application Architectures, you will: Understand the differences between traditional deployment and cloud computing Determine whether moving existing applications to the cloud makes technical and business sense Analyze and compare the long-term costs of cloud services, traditional hosting, and owning dedicated servers Learn how to build a transactional web application for the cloud or migrate one to it Understand how the cloud helps you better prepare for disaster recovery Change your perspective on application scaling To provide realistic examples of the book's principles in action, the author delves into some of the choices and operations available on Amazon Web Services, and includes high-level summaries of several of the other services available on the market today. Cloud Application Architectures provides best practices that apply to every available cloud service. Learn how to make the transition to the cloud and prepare your web applications to succeed.
Author: Thomas Erl
Publisher: Pearson Education
ISBN: 0133387526
Category : Business & Economics
Languages : en
Pages : 533
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Book Description
This book describes cloud computing as a service that is "highly scalable" and operates in "a resilient environment". The authors emphasize architectural layers and models - but also business and security factors.
Author: Aditya Patawari
Publisher: Packt Pub Limited
ISBN: 9781782168256
Category : Computers
Languages : en
Pages : 134
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Book Description
This is a standard, precise, and short tutorial for setting up ownCloud and includes advanced topics like encryption, user management, and server security. This ownCloud book would be an ideal starting point for anyone who wants to store their data and also share it.This book is for first time users as well as administrators who are interested or responsible for managing an ownCloud instance. You do not need any prior experience with any of the technology, including Linux/Windows, Apache/IIS, SQLite/MySQL, or even PHP. It is a beginner-friendly book, written with a first time user in mind.
Author: Geraldine A. Van der Auwera
Publisher: O'Reilly Media
ISBN: 1491975164
Category : Computers
Languages : en
Pages : 496
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Book Description
Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes—or over 50 million gigabytes—of genomic data, and they’re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian O’Connor of the UC Santa Cruz Genomics Institute, guide you through the process. You’ll learn by working with real data and genomics algorithms from the field. This book covers: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK, plus three major GATK Best Practices pipelines Automating analysis with scripted workflows using WDL and Cromwell Scaling up workflow execution in the cloud, including parallelization and cost optimization Interactive analysis in the cloud using Jupyter notebooks Secure collaboration and computational reproducibility using Terra
Author: Dan Sanderson
Publisher: "O'Reilly Media, Inc."
ISBN: 1449383033
Category : Computers
Languages : en
Pages : 394
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Book Description
As one of today's cloud computing services, Google App Engine does more than provide access to a large system of servers. It also offers you a simple model for building applications that scale automatically to accommodate millions of users. With Programming Google App Engine, you'll get expert practical guidance that will help you make the best use of this powerful platform. Google engineer Dan Sanderson shows you how to design your applications for scalability, including ways to perform common development tasks using App Engine's APIs and scalable services. You'll learn about App Engine's application server architecture, runtime environments, and scalable datastore for distributing data, as well as techniques for optimizing your application. App Engine offers nearly unlimited computing power, and this book provides clear and concise instructions for getting the most from it right from the source. Discover the differences between traditional web development and development with App Engine Learn the details of App Engine's Python and Java runtime environments Understand how App Engine handles web requests and executes application code Learn how to use App Engine's scalable datastore, including queries and indexes, transactions, and data modeling Use task queues to parallelize and distribute work across the infrastructure Deploy and manage applications with ease
Author: Eric A. Marks
Publisher: Wiley
ISBN: 0470630493
Category : Computers
Languages : en
Pages : 304
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Book Description
Your organization can save and thrive in the cloud with this first non-technical guide to cloud computing for business leaders In less than a decade Google, Amazon, and Salesforce.com went from unknown ideas to powerhouse fixtures in the economic landscape; in even less time offerings such as Linkedin, Youtube, Facebook, Twitter and many others also carved out important roles; in less than five years Apple's iTunes became the largest music retailer in North America. They all share one key strategic decision – each of these organizations chose to harness the power of cloud computing to power their drives to dominance. With roots in supercomputing and many other technical disciplines, cloud computing is ushering in an entirely new economic reality – technology-enabled enterprises built on low cost, flexible, and limitless technical infrastructures. The Executive's Guide to Cloud Computing reveals how you can apply the power of cloud computing throughout your enterprise, giving members of the C-suite a detailed look at: Why cloud computing must be a top priority on your company's IT roadmaps How the drive for scale, lower costs and greater agility is making cloud computing a fiscal and technological imperative The relationship between cloud computing and other relevant IT initiatives The strategic implications of cloud computing for the enterprise Where to begin and how to get started integrating cloud computing into your existing operations Now you can harness cloud computing's potential for your organization. Executive's Guide to Cloud Computing shows you how.
