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.

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.

Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services Key Featuresa- Learn the basic concept of Cloud Computing along with different Cloud service provides with their supported Models (IaaS/PaaS/SaaS)a- Learn the basics of Compute Engine, App Engine, Container Engine, Project and Billing setup in the Google Cloud Platforma- Learn how and when to use Cloud DataFlow, Cloud DataProc and Cloud DataPrep a- Build real-time data pipeline to support real-time analytics using Pub/Sub messaging servicea- Setting up a fully managed GCP Big Data Cluster using Cloud DataProc for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient mannera- Learn how to use Cloud Data Studio for visualizing the data on top of Big Querya- Implement and understand real-world business scenarios for Machine Learning, Data Pipeline EngineeringDescriptionModern businesses are awash with data, making data driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with enough knowledge of Cloud Computing in conjunction with Google Cloud Data platform to succeed in the role of a Cloud data expert.Current market is trending towards the latest cloud technologies, which is the need of the hour. Google being the pioneer, is dominating this space with the right set of cloud services being offered as part of GCP (Google Cloud Platform). At this juncture, this book will be very vital and will be cover all the services that are being offered by GCP, putting emphasis on Data services.What will you learnBy the end of the book, you will have come across different data services and platforms offered by Google Cloud, and how those services/features can be enabled to serve business needs. You will also see a few case studies to put your knowledge to practice and solve business problems such as building a real-time streaming pipeline engine, Scalable Datawarehouse on Cloud, fully managed Hadoop cluster on Cloud and enabling TensorFlow/Machine Learning API's to support real-life business problems. Remember to practice additional examples to master these techniques. Who this book is forThis book is for professionals as well as graduates who want to build a career in Google Cloud data analytics technologies. One stop shop for those who wish to get an initial to advance understanding of the GCP data platform. The target audience will be data engineers/professionals who are new, as well as those who are acquainted with the tools and techniques related to cloud and data space. a- Individuals who have basic data understanding (i.e. Data and cloud) and have done some work in the field of data analytics, can refer/use this book to master their knowledge/understanding.a- The highlight of this book is that it will start with the basic cloud computing fundamentals and will move on to cover the advance concepts on GCP cloud data analytics and hence can be referred across multiple different levels of audiences. Table of Contents1. GCP Overview and Architecture2. Data Storage in GCP 3. Data Processing in GCP with Pub/Sub and Dataflow 4. Data Processing in GCP with DataPrep and Dataflow5. Big Query and Data Studio6. Machine Learning with GCP7. Sample Use cases and ExamplesAbout the Author Murari Ramuka is a seasoned Data Analytics professional with 12+ years of experience in enabling data analytics platforms using traditional DW/BI and Cloud Technologies (Azure, Google Cloud Platform) to uncover hidden insights and maximize revenue, profitability and ensure efficient operations management. He has worked with several multinational IT giants like Capgemini, Cognizant, Syntel and Icertis.His LinkedIn Profile: https://www.linkedin.com/in/murari-ramuka-98a440a/

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.

STRUGGLING TO COME TO GRIPS WITH CLOUD TECHNOLOGY? Amazon Web Services offer on-demand cloud services created with customer satisfaction in mind. AWS is one of the best cloud services out there, but starting the tech can be tricky if you don't have the right guide. This book was written exactly for anyone wanting to use cloud systems in their place of work, for the first time. It's one of the only books on the market that holds your hand and guides you step by step to setting up Amazon Web Services for yourself. You won't get this quality of cloud computing information anywhere else! It gets straight to the point allowing you get finished with setting up the ground-breaking technology FASTER. No hype! No fuss! Just pure value! This amazing book will cover: > Fundamentals of cloud computing; > Basic terminologies for the AWS cloud platform; > Cloud computing security (VERY IMPORTANT for businesses!); > Basics of SaaS, PaaS, IaaS cloud computing services; > Cloud computing development models; > Mobile Services with AWS Amplify, Pinpoint and AWS AppSync; > Network and Content Delivery; > Developer tools such as AWS Code Commit and AWS X-Ray; > Management tools such as Cloud Formation and AWS control tower; > Using managed Blockchain for Amazon Quantum Ledger Databases (QLDB); > Security, Identity and compliance; > Business applications such as Alexa, Amazon Chime and Toll (video conferencing); > Cost Management (Often Overlooked!); > Desktop and App streaming; > Which one is better? Artificial intelligence or Machine Learning?; > Game Dev (Fantastic for Indie Developers!); > Internet of things (IOT); > And so much more! Finally, you will be able to effectively utilise the resource that is AWS cloud services, in record time and you'll have fun along the way!

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