Cloud Platform Services A Complete Guide - 2019 Edition PDF Download
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Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655895619
Category :
Languages : en
Pages : 0
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Book Description
Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655895619
Category :
Languages : en
Pages : 0
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Book Description
Author: Dan Sullivan
Publisher: John Wiley & Sons
ISBN: 1119564182
Category : Computers
Languages : en
Pages : 560
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Book Description
The Only Official Google Cloud Study Guide The Official Google Cloud Certified Associate Cloud Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services. • Select the right Google service from the various choices based on the application to be built • Compute with Cloud VMs and managing VMs • Plan and deploying storage • Network and configure access and security Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655546023
Category :
Languages : en
Pages : 312
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Book Description
What will it cost to run your infrastructure on a cloud platform? What is the public opinion about your services? What if you could combine the benefits of the public cloud and your IT environment? Is your cloud platform flexible enough for applications and platforms which will come in future? What criteria are relevant for your organization when migrating to a cloud service provider? This valuable Cloud platform self-assessment will make you the accepted Cloud platform domain expert by revealing just what you need to know to be fluent and ready for any Cloud platform challenge. How do I reduce the effort in the Cloud platform work to be done to get problems solved? How can I ensure that plans of action include every Cloud platform task and that every Cloud platform outcome is in place? How will I save time investigating strategic and tactical options and ensuring Cloud platform costs are low? How can I deliver tailored Cloud platform advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Cloud platform essentials are covered, from every angle: the Cloud platform self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Cloud platform outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Cloud platform practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Cloud platform are maximized with professional results. Your purchase includes access details to the Cloud platform self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Cloud platform Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: Ekaba Bisong
Publisher: Apress
ISBN: 1484244702
Category : Computers
Languages : en
Pages : 703
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Book Description
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655845621
Category :
Languages : en
Pages : 310
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Book Description
How can you negotiate Cloud Platform Services successfully with a stubborn boss, an irate client, or a deceitful coworker? Where can you gather more information? Why improve in the first place? Are the measurements objective? Has a Cloud Platform Services requirement not been met? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Cloud Platform Services investments work better. This Cloud Platform Services All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Cloud Platform Services Self-Assessment. Featuring 955 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Cloud Platform Services improvements can be made. In using the questions you will be better able to: - diagnose Cloud Platform Services projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Cloud Platform Services and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Cloud Platform Services Scorecard, you will develop a clear picture of which Cloud Platform Services areas need attention. Your purchase includes access details to the Cloud Platform Services self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Cloud Platform Services Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: Adney Ainsley
Publisher:
ISBN:
Category :
Languages : en
Pages : 84
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Book Description
Google Cloud is growing quickly as companies increasingly adopt multi-cloud strategies. It was once again named a Leader in the 2019 Gartner Infrastructure as a Service Magic Quadrant, and demand for people with Google Cloud skills is running high. To meet this demand and help organizations identify knowledgeable talent, Google has created their Associate Cloud Engineer certification. This book is designed to give students the solid foundation of GCP capability that they will need to later build toward the Google Certified Professional Cloud Architect (PCA) certification--which was recently named as 2019's top-paying IT certification. This book will prepare you to: Set-up and configure Google Cloud accounts using best practices. Use GCP services like Cloud Storage, Compute Engine, and Kubernetes Engine in your everyday work. Pass the GCP Associate Cloud Engineer certification exam. Who this book is for: Sysadmins or other individuals who want to learn how to configure and manage Google Cloud systems and demonstrate those abilities through certification. Developers who want to leverage Google Cloud for the applications they build. Architects and technical managers who want to get hands-on and "stay honest" with the technology.
Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655950516
Category :
Languages : en
Pages : 0
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Book Description
Author: Dan Sullivan
Publisher: John Wiley & Sons
ISBN: 1119602440
Category : Computers
Languages : en
Pages : 320
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Book Description
Sybex's proven Study Guide format teaches Google Cloud Architect job skills and prepares you for this important new Cloud exam. The Google Cloud Certified Professional Cloud Architect Study Guide is the essential resource for anyone preparing for this highly sought-after, professional-level certification. Clear and accurate chapters cover 100% of exam objectives—helping you gain the knowledge and confidence to succeed on exam day. A pre-book assessment quiz helps you evaluate your skills, while chapter review questions emphasize critical points of learning. Detailed explanations of crucial topics include analyzing and defining technical and business processes, migration planning, and designing storage systems, networks, and compute resources. Written by Dan Sullivan—a well-known author and software architect specializing in analytics, machine learning, and cloud computing—this invaluable study guide includes access to the Sybex interactive online learning environment, which includes complete practice tests, electronic flash cards, a searchable glossary, and more. Providing services suitable for a wide range of applications, particularly in high-growth areas of analytics and machine learning, Google Cloud is rapidly gaining market share in the cloud computing world. Organizations are seeking certified IT professionals with the ability to deploy and operate infrastructure, services, and networks in the Google Cloud. Take your career to the next level by validating your skills and earning certification. Design and plan cloud solution architecture Manage and provision cloud infrastructure Ensure legal compliance and security standards Understand options for implementing hybrid clouds Develop solutions that meet reliability, business, and technical requirements The Google Cloud Certified Professional Cloud Architect Study Guide is a must-have for IT professionals preparing for certification to deploy and manage Google cloud services.
Author: John J. (JJ) Geewax
Publisher: Simon and Schuster
ISBN: 1638355908
Category : Computers
Languages : en
Pages : 920
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Book Description
Summary Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever. You'll learn how to choose exactly the services that best suit your needs, and you'll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Thousands of developers worldwide trust Google Cloud Platform, and for good reason. With GCP, you can host your applications on the same infrastructure that powers Search, Maps, and the other Google tools you use daily. You get rock-solid reliability, an incredible array of prebuilt services, and a cost-effective, pay-only-for-what-you-use model. This book gets you started. About the Book Google Cloud Platform in Action teaches you how to deploy scalable cloud applications on GCP. Author and Google software engineer JJ Geewax is your guide as you try everything from hosting a simple WordPress web app to commanding cloud-based AI services for computer vision and natural language processing. Along the way, you'll discover how to maximize cloud-based data storage, roll out serverless applications with Cloud Functions, and manage containers with Kubernetes. Broad, deep, and complete, this authoritative book has everything you need. What's inside The many varieties of cloud storage and computing How to make cost-effective choices Hands-on code examples Cloud-based machine learning About the Reader Written for intermediate developers. No prior cloud or GCP experience required. About the Author JJ Geewax is a software engineer at Google, focusing on Google Cloud Platform and API design. Table of Contents PART 1 - GETTING STARTED What is "cloud"? Trying it out: deploying WordPress on Google Cloud The cloud data center PART 2 - STORAGE Cloud SQL: managed relational storage Cloud Datastore: document storage Cloud Spanner: large-scale SQL Cloud Bigtable: large-scale structured data Cloud Storage: object storage PART 3 - COMPUTING Compute Engine: virtual machines Kubernetes Engine: managed Kubernetes clusters App Engine: fully managed applications Cloud Functions: serverless applications Cloud DNS: managed DNS hosting PART 4 - MACHINE LEARNING Cloud Vision: image recognition Cloud Natural Language: text analysis Cloud Speech: audio-to-text conversion Cloud Translation: multilanguage machine translation Cloud Machine Learning Engine: managed machine learning PART 5 - DATA PROCESSING AND ANALYTICS BigQuery: highly scalable data warehouse Cloud Dataflow: large-scale data processing Cloud Pub/Sub: managed event publishing
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.
