Cloud Computing Native KMU - so lässt sich kurz und prägnant der Inhalt des vorliegenden Buches zusammenfassen. Dargestellt werden Grundlagen, Anwendungen, Migrationsstrategien, Sicherheitskonzepte, betriebliches Datenmanagement, technologisches Umfeld, Cloud-Initiativen und die vielen nützlichen Helfer aus dem Internet. Beschrieben, strukturiert und analysiert wird der Cloud-Markt in all seinen vielfältigen Formen und Verästlungen. Dem weiterführenden Interesse dienen sorgfältig recherchierte Hyperlinks. So bekommt der Leser ein systematisches und umfassendes Bild vom Cloud Computing unter KMU-Bedingungen.. All dies dient der optimalen Cloud-Nutzung in kleinen und mittleren Unternehmen respektive in Freiberufler-Büros, HomeOffices oder Start-up-Firmen. Eine solche Vorgehensweise ist ratsam, um diese moderne Technologie samt Umfeld besser zu verstehen und die vorhandenen Angebote am Markt optimal für den eigenen Betrieb nutzen zu können. In diesem Zusammenhang werden auch folgende Fragen thematisiert: Was heißt ´Cloud-Readiness´ für KMU? Ab wann und für wen lohnt sich die Cloud? Brauchen wir eine KMU-eigene Cloud-Policy?
Learn how to define strategies for cloud adoption of your Oracle database landscape. Understand private cloud, public cloud, and hybrid cloud computing in order to successfully design and manage databases in the cloud. The Cloud DBA-Oracle provides an overview of Database-as-a-Service (DBaaS) that you can use in defining your cloud adoption strategy. In-depth details of various cloud service providers for Oracle database are given, including Oracle Cloud and Amazon Web Services (AWS). Database administration techniques relevant to hosting databases in the cloud are shown in the book as well as the technical details needed to perform all database administration tasks and activities, such as migration to the cloud, backup in the cloud, and new database setup in the cloud. You will learn from real-world business cases and practical examples of administration of Oracle database in the cloud, highlighting the challenges faced and solutions implemented. What you will learn: Cloud computing concepts from the DBA perspective, such as private cloud, public cloud, hybrid cloud Technical details of all aspects of cloud database administration Challenges faced during setup of databases in private cloud or database migration to public cloud Key points to be kept in mind during database administration in the cloud Practical examples of successful Oracle database cloud migration and support Who Is This Book For All levels of IT professionals, from executives responsible for determining database strategies to database administrators and database architects who manage and design databases.
Cloud Computing wird von nahezu allen führenden Analysten als einer der Top-5-IT-Trends gesehen, der gegenwärtig aus der Hype-Phase in den Status der praktischen betrieblichen Umsetzung übergeht. Inzwischen wird nicht mehr diskutiert, ob Cloud Computing überhaupt eine praktikable Möglichkeit des IT-Sourcing ist, sondern vielmehr, wie diese Möglichkeit sich sicher und mit hohem Nutzen für Firmen einsetzen lässt. Es wird aufgezeigt, wo die Vorteile aber auch die Stolpersteine liegen und welche prinzipiellen Lösungen es gibt, um die Chancen zu realisieren und Risiken möglichst zu umgehen.
Cloud computing has become a new face of modern technology because of its ability to share resources among a large number of people. It has an important impact in our daily life (business, health,..., etc.) where customers can benefit from a service without much effort via a simple device. However, the cloud suffers from a number of issues that need to be addressed in order to improve its performance. This latter is realized by adopting a better approaches of resource allocation and that what we seek to do in this study.
Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual Studio Code, Postman, and Serverless Framework. You will apply the fundamentals of serverless technology from the ground up, and come away with a greater understanding of its power and how to make it work for you. This book teaches you how to quickly and securely develop applications without the hassle of configuring and maintaining infrastructure. You will learn how to harness serverless technology to rapidly reduce production time and minimize your costs, while still having the freedom to customize your code, without hindering functionality. Upon completion, you will have the knowledge and resources to build your own serverless application hosted in AWS, Azure, or Google Cloud and will have experienced the benefits of event-driven technology for yourself. What You´ll Learn Gain a deeper understanding of serverless computing and when to use it Use development tools such as Node.js, Postman, and VS code to quickly set up your serverless development environment and produce applications Apply triggers to your serverless functions that best suit the architecture for the problem the functions are solving Begin building applications across cloud providers that utilize the power of serverless technology Understand best development practices with serverless computing to maintain scalable and practical solutions Code with an agnostic approach to cloud providers to minimize provider dependency Who This Book Is For Any developer looking to expand current knowledge of serverless computing, its applications, and how to architect serverless solutions, or someone just beginning in these areas
Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more. After reading and using this book, you´ll get some takeaway case study examples of applications that can be found in areas like business management, big data/cloud computing, financial engineering (i.e., options trading investment alternatives), and even games. Up until very recently, Python was mostly regarded as just a web scripting language. Well, computational scientists and engineers have recently discovered the flexibility and power of Python to do more. Big data analytics and cloud computing programmers are seeing Python´s immense use. Financial engineers are also now employing Python in their work. Python seems to be evolving as a language that can even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations.
This book discusses online engineering and virtual instrumentation, typical working areas for today´s engineers and inseparably connected with areas such as Internet of Things, cyber-physical systems, collaborative networks and grids, cyber cloud technologies, and service architectures, to name just a few. It presents the outcomes of the 14th International Conference on Remote Engineering and Virtual Instrumentation (REV2017), held at Columbia University in New York from 15 to 17 March 2017. The conference addressed fundamentals, applications and experiences in the field of online engineering and virtual instrumentation in the light of growing interest in and need for teleworking, remote services and collaborative working environments as a result of the globalization of education. The book also discusses guidelines for education in university-level courses for these topics.
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition , presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. W hat You´ll Learn Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Who This Book Is For Developers who want to understand how to use Python and its related ecosystem for numerical computing.
This textbook introduces the ´´Fundamentals of Multimedia´´, addressing real issues commonly faced in the workplace. The essential concepts are explained in a practical way to enable students to apply their existing skills to address problems in multimedia. Fully revised and updated, this new edition now includes coverage of such topics as 3D TV, social networks, high-efficiency video compression and conferencing, wireless and mobile networks, and their attendant technologies. Features: presents an overview of the key concepts in multimedia, including color science; reviews lossless and lossy compression methods for image, video and audio data; examines the demands placed by multimedia communications on wired and wireless networks; discusses the impact of social media and cloud computing on information sharing and on multimedia content search and retrieval; includes study exercises at the end of each chapter; provides supplementary resources for both students and instructors at an associated website.