Leverage the power of the Azure Services Platform for cloud computing With the Azure Services Platform, processing and storing data moves from individual corporate servers and Web sites to larger, more reliable, and more secure data centers. Roger Jennings, author of more than 30 books on Microsoft technologies, shows you how to leverage the power of Azure and its related services for cloud computing. The book begins with a look at the differences between cloud computing and application hosting and examines the various issues that .NET developers and IT managers face in moving from on-premise to cloud-based applications, including security, privacy, regulatory compliance, backup and recovery, asset cataloging, and other common technical issues. The author then drills down, showing basic programming for individual Azure components, including storage, SQL Data Services, and .NET Services. He then moves on to cover more advanced programming challenges. Explains the benefits of using the Azure Services Platform for cloud computing Shows how to program with Windows Azure components, including Azure Table and Blob storage, .NET Services and SQL Azure Addresses advanced programming challenges of creating useful projects that combine cloud storage with Web applications or services Companion Web site features complete, finished applications that can be uploaded to jump start a Windows Azure project Roger Jennings clears away the clouds and gets you started using the Azure Services Platform.

Leverage the power of the Azure Services Platform for cloud computing With the Azure Services Platform, processing and storing data moves from individual corporate servers and Web sites to larger, more reliable, and more secure data centers. Roger Jennings, author of more than 30 books on Microsoft technologies, shows you how to leverage the power of Azure and its related services for cloud computing. The book begins with a look at the differences between cloud computing and application hosting and examines the various issues that .NET developers and IT managers face in moving from on-premise to cloud-based applications, including security, privacy, regulatory compliance, backup and recovery, asset cataloging, and other common technical issues. The author then drills down, showing basic programming for individual Azure components, including storage, SQL Data Services, and .NET Services. He then moves on to cover more advanced programming challenges. Explains the benefits of using the Azure Services Platform for cloud computing Shows how to program with Windows Azure components, including Azure Table and Blob storage, .NET Services and SQL Azure Addresses advanced programming challenges of creating useful projects that combine cloud storage with Web applications or services Companion Web site features complete, finished applications that can be uploaded to jump start a Windows Azure project Roger Jennings clears away the clouds and gets you started using the Azure Services Platform.

The Windows Azure Platform has rapidly established itself as one of the most sophisticated cloud computing platforms available. With Microsoft working to continually update their product and keep it at the cutting edge, the future looks bright—if you have the skills to harness it. In particular, new features such as remote desktop access, dynamic content caching and secure content delivery using SSL make the latest version of Azure a more powerful solution than ever before. It’s widely agreed that cloud computing has produced a paradigm shift in traditional architectural concepts by providing new ways to both store and process data. The basic concepts of the cloud are now well understood throughout the industry. What is much less well understood, and the primary focus of this book, is how the the Windows Azure technology can be applied in real-world scenarios and made to work for you. This book answers those questions, demonstrating how all the features of Windows Azure—both old and new—can be put to work. By the time you’re done reading, you will be comfortable building high-quality end-to-end Windows Azure services of your own. The book, like the Azure platform itself, is divided into three key parts—Windows Azure, SQL Azure, and Windows Azure AppFabric. Each of these plays a unique role in the functioning of your cloud service. It is the goal of this book to show you how to use these components, both separately and together, to build flawless cloud applications as well as hybrid architectures that fit in alongside your business' existing systems. Pro Windows Azure Platform, Second Edition is a down-to-earth, code-centric book that shows precisely how the all the components of Windows Azure are employed, and demonstrates the techniques and best practices you'll need to put them to work.

The complete reference guide to the hot technology of cloud computing Its potential for lowering IT costs makes cloud computing a major force for both IT vendors and users; it is expected to gain momentum rapidly with the launch of Office Web Apps later this year. Because cloud computing involves various technologies, protocols, platforms, and infrastructure elements, this comprehensive reference is just what you need if you?ll be using or implementing cloud computing. Cloud computing offers significant cost savings by eliminating upfront expenses for hardware and software; its growing popularity is expected to skyrocket when Microsoft introduces Office Web Apps This comprehensive guide helps define what cloud computing is and thoroughly explores the technologies, protocols, platforms and infrastructure that make it so desirable Covers mobile cloud computing, a significant area due to ever-increasing cell phone and smartphone use Focuses on the platforms and technologies essential to cloud computing Anyone involved with planning, implementing, using, or maintaining a cloud computing project will rely on the information in Cloud Computing Bible.

The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.

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Introduces the topic of cloud computing with an emphasis on the trustworthiness of cloud computing systems and services This book describes the scientific basis of cloud computing, explaining the ideas, principles, and architectures of cloud computing as well the different types of clouds and the services they provide. The text reviews several cloud computing platforms, including Microsoft Azure, Amazon, Oracle, Google, HP, IBM, Salesforce, and Kaavo. The author addresses the problem of trustworthiness in cloud computing and provides methods to improve the security and privacy of cloud applications. The end-of-chapter exercises and supplementary material on the book's companion website will allow readers to grasp the introductory and advanced level concepts of cloud computing. Examines cloud computing platforms such as Microsoft Azure, Amazon, Oracle, Google, HP, IBM, Salesforce, and Kaavo Analyzes the use of aspect-oriented programming (AOP) for refactoring cloud services and improving the security and privacy of cloud applications Contains practical examples of cloud computing, test questions, and end-of-chapter exercises Includes presentations, examples of cloud projects and other teaching resources at the author’s website (http://www.vladimirsafonov.org/cloud) Trustworthy Cloud Computing is written for advanced undergraduate and graduate students in computer science, data science, and computer engineering as well as software engineers, system architects, system managers, and software developers new to cloud computing.