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Guide to designing and developing cloud native applications in Azure Ê DESCRIPTION The mainstreaming of Cloud Native Architecture as an enterprise discipline is well underway. According to the Forbes report in January 2018, 83% of the enterprise workloads will be in the cloud by 2020 and 41% of the enterprise workloads will run on public cloud platforms, while another 22% will be running on hybrid cloud platforms. Customers are embarking on the enterprise digital transformation journeys. Adopting cloud and cloud native architectures and microservices is an important aspect of the journey. This book starts with a brief introduction on the basics of cloud native applications, cloud native app...
This book presents selected research papers on current developments in artificial intelligence (AI) and data sciences from the International Conference on Advances in Data Science and Computing Technologies, ADSC 2022. The book covers topics such as soft computing techniques, AI, optical communication systems, application of Internet of Things, hybrid and renewable energy sources, cloud and mobile computing, deep machine learning, data networks & securities. The book discusses various aspects of these topics, e.g., technological considerations, product implementation, and application issues. The volume will serve as a reference resource for researchers and practitioners in academia and industry.
A bicycle shed is a building, but the Lincoln Cathedral is a piece of architecture. -Nicholaus Pevsner, architectural historian ______________________________________________________________ Traditional building architecture and enterprise architecture use similar processes for developing their respective end products. The architect calls upon architecture's first principles and combines them with the experience of doing architecture in the real world. Experienced architects apply first principles and add practical experience to integrate fit, balance and compromise into the architectural process. Qualified enterprise architects possess applied first principles including the understanding th...
With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.
With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.
Microservices is an architectural style in which large, complex software applications are composed of one or more smaller services. Each of these Microservices focuses on completing one task that represents a small business capability. These Microservices can be developed in any programming language. This reference guide consolidates the authors' experience of many projects and programs with customers, and insights from many hours of intense discussions with experts from client companies and consultancies. The book takes a holistic view of the Microservices Architecture, while also giving specific guidelines on how to establish and roll out future-state Microservices Architecture based on the methodology and approach documented in this reference guide. Software professionals interested in learning about Microservices and how to develop or redesign a monolithic application using Microservices can benefit from this book.
This Seven Volume Set Provides A Comprehensive Overview Of The Social Construction Of Southern India. First Published In 1909.
Enterprise Architecture is the discipline of managing the complexities of the Business-IT landscape. It has been around since the 1980's, when for the first time computers were connected in networks, and the already serious (and unsolved) problem of the complexity of computer programs for relatively simple business needs turned into the huge problem of large networks of them in complex business landscapes. In spite of many 'best practices' and 'frameworks' that have been introduced, Enterprise Architecture is not a great success. After thirty years, we still have the same problems. Chaos is still everywhere. Projects still fail far too often. In this book, (hidden) assumptions behind the exi...
"... A comprehensive collection about how enterprises can apply systems thinking in their enterprise architecture practice, for business transformation and for strategic execution. The book's contributors find that systems thinking is a valuable way of thinking about the viable enterprise and how to architect it" -- Back cover.