The Best Cloud Computing eBooks of All Time

Begin your exploration into cloud computing by developing deep knowledge of cloud technologies, enhancing hands-on skills, and achieving proficiency in cloud.

Key FeaturesTeach yourself all about cloud computing with this easy-to-follow guideDevelop a well-rounded skillset-from fundamentals to data, machine learning, and securityWork on real life industrial projects, business use cases, and personal cloud career developmentPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book is an all-inclusive guide for IT professionals to master cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. If you're a beginner with basic computer hardware and software understanding, this book provides the means to transitions into a cloud computing career. Starting with a focus on the Amazon cloud, you'll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, you'll build proficiency in Microsoft Azure cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Finally, you'll get guidance on cloud certifications and career development. Walking through this cloud computing book, you'll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills. What you will learnDevelop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCPGain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environmentsIntegrate cloud databases, big data, and machine learning services in multi-cloud environmentsDesign and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the cloudsImplement machine learning pipelines in multi-cloud environmentSecure cloud infrastructure ecosystems with advanced cloud security servicesWho this book is forWhether you're a beginner in cloud computing or an experienced professional seeking to expand your skills, this meticulously designed study book is for anyone in the information technology domain aiming to thrive in the realm of cloud computing. With this comprehensive roadmap, you'll have the tools to build a successful cloud computing career. Table of ContentsAmazon EC2 and Cloud Compute ServicesAmazon Cloud Storage ServicesAmazon Cloud Networking ServicesAmazon Cloud Database ServicesAmazon Cloud Big Data ServicesAmazon Cloud Machine Learning ServicesAmazon Cloud Security ServicesGoogle Cloud Foundation ServicesGoogle Cloud Data ServicesGoogle Cloud AI ServicesGoogle Cloud Security ServicesAzure Cloud Foundation ServicesAzure Cloud Data ServicesAzure Cloud AI ServicesAzure Cloud Security ServicesAchieving Cloud CertificationsBuilding a Successful Cloud Computing Career.

Delve into the captivating realms of modern computing with "The Future of Computing: Harnessing the Power of Cloud Technology." In this illuminating journey authored by Satyanarayan Kanungo, a distinguished expert in advanced cloud computing with an introduction to AI and ML in cloud computing, readers are invited to explore the transformative force that is the cloud. As technology races forward at an unprecedented pace, the cloud emerges as a cornerstone of innovation, reshaping industries, revolutionizing workflows, and unlocking limitless possibilities.

Through insightful analysis and real-world examples, Kanungo provides a comprehensive examination of the profound impact of cloud technology on the digital landscape. From its fundamental principles to cutting-edge advancements, this book offers readers a deep understanding of how cloud computing is redefining the way we work, communicate, and interact with technology. With an engaging narrative and expert guidance, "The Future of Computing" equips readers with the knowledge and insights needed to navigate the ever-evolving landscape of modern computing. Whether you're a seasoned professional seeking to harness the full potential of cloud technology or a curious enthusiast eager to grasp the latest trends, this book serves as your indispensable guide to unlocking the boundless possibilities of the digital age. Embark on this transformative journey and discover the future of computing today.

In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors. Summary. 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 a 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 analyze it. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology. Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for designing cloud data platforms, you’ll maximize performance no matter which cloud vendor you use. About the book. In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors. What's inside. Best practices for structured and unstructured data sets. Cloud-ready machine learning tools. Metadata and real-time analytics. Defensive architecture, access, and security. About the reader. For data professionals familiar with the basics of cloud computing, and Hadoop or Spark. About the author. Danil Zburivsky has over 10 years of 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. Table of Contents. 1 Introducing the data platform. 2 Why a data platform and not just a data warehouse. 3 Getting bigger and leveraging the Big 3: Amazon, Microsoft Azure, and Google. 4 Getting data into the platform. 5 Organizing and processing data. 6 Real-time data processing and analytics. 7 Metadata layer architecture. 8 Schema management. 9 Data access and security. 10 Fueling business value with data platforms.