A survey of microwave technology tailored for professionals in wireless communications

RF Technologies for Low Power Wireless Communications updates recent developments in wireless communications from a hardware design standpoint and offers specialized coverage of microwave technology with a focus on the low power wireless units required in modern wireless systems. It explores results of recent research that focused on a holistic, integrated approach to the topics of materials, devices, circuits, modulation, and architectures rather than the more traditional approach of research into isolated topical areas.

Twelve chapters deal with various fundamental research aspects of low power wireless electronics written by world-class experts in each field. The first chapter offers an overview of wireless architecture and performance, followed by detailed coverage of:

• Advanced GaAs-based HBT designs
• InP-based devices and circuits
• Si/SiGe HBT technology
• Noise in GaN devices
• Power amplifier architectures and nonlinearities
• Planar-oriented components
• MEMS and micromachined components
• Resonators, filters, and low-noise oscillators
• Antennas
• Transceiver front-end architectures

With a clear focus and expert contributors, RF Technologies for Low Power Wireless Communications will be of interest to a wide range of electrical engineering disciplines working in wireless technologies.

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naive, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

This book summarizes the key scientific outcomes of the Horizon 2020 research project TULIPP: Towards Ubiquitous Low-power Image Processing Platforms. The main focus lies on the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications. The holistic TULIPP approach is described in the book, which addresses hardware platforms, programming tools and embedded operating systems. Several of the results are available as open-source hardware/software for the community. The results are evaluated with several use cases taken from real-world applications in key domains such as Unmanned Aerial Vehicles (UAVs), robotics, space and medicine. Discusses the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications; Covers the hardware architecture of embedded image processing systems, novel methods, tools and libraries for programming those systems as well as embedded operating systems to manage those systems; Demonstrates results with several challenging applications, such as medical systems, robotics, drones and automotive.

As we continue to build faster and fast. er computers, their performance is be coming increasingly dependent on the memory hierarchy. Both the clock speed of the machine and its throughput per clock depend heavily on the memory hierarchy. The time to complet. e a cache acce88 is oft. en the factor that det. er mines the cycle time. The effectiveness of the hierarchy in keeping the average cost of a reference down has a major impact on how close the sustained per formance is to the peak performance. Small changes in the performance of the memory hierarchy cause large changes in overall system performance. The strong growth of ruse machines, whose performance is more tightly coupled to the memory hierarchy, has created increasing demand for high performance memory systems. This trend is likely to accelerate: the improvements in main memory performance will be small compared to the improvements in processor performance. This difference will lead to an increasing gap between prOCe880r cycle time and main memory acce. time. This gap must be closed by improving the memory hierarchy. Computer architects have attacked this gap by designing machines with cache sizes an order of magnitude larger than those appearing five years ago. Microproce880r-based RISe systems now have caches that rival the size of those in mainframes and supercomputers."

Inclusive Development of Society contains papers that were originally presented at the 2018 International Congress on Management and Technology in Knowledge, Service, Tourism & Hospitality (SERVE 2018), held 6-7 October and 15-16 December 2018 in Kuta, Bali, Indonesia and 18-19 October, 2018 at The Southern Federal University, Rostov-on-don, Russia. The contributions deal with various interdisciplinary research topics, particularly in the fields of social sciences, economics and the arts. The papers focus especially on such topics as language, cultural studies, economics, behavior studies, political sciences, media and communication, psychology and human development. The theoretical research studies included here should provide a solid foundation for the development of new tools that explore the possibilities of developing tourism, hospitality, service industries in Knowledge Economic Era, and the empirical papers will advance our knowledge regarding the impact of information technologies in organizations' and institutions' practices. These proceedings should be of interest to academics and professionals in the wider field of social sciences, including disciplines such as education, psychology, tourism and knowledge management.

With the rapid development and drastic change of the world economy, "Digital Finance", "Internet Finance", "Science and Technology Finance" have become new hotspots, which also represent the future trend of economy development in the era of big data. Enterprises are facing more uncertainty, opportunities coexist with challenges. There are more possibilities for economic development and enterprise management to accelerate the integration of cutting-edge research results, to deepen hot topics discussion and to promote opinion exchanges among academic and business circles. The Sixth International Conference on Economic and Business Management (FEBM2021) was successfully held online on October 16-17, 2021, and aimed to provide a platform for researchers, engineers, academics as well as industry professionals from all over the world to present their latest research findings and development activities in economic and business management. These proceedings include 51 accepted articles selected from 94 submissions.

In this book, Edosa explores common challenges which limit the value that organisations can get from data. What makes his book unique is that he also tackles one of the unspoken barriers to data adoption-fear. Fear of the unknown, fear of the intangible, fear of the investment needed and, yes, fear of losing your job to a machine. With his talent for distilling clarity from complexity, Edosa tackles this and many other challenges. -Tim Carmichael, Chief Data Officer, Chalhoub Group This book offers fresh insight about how to solve the interactional frictions that hamper the flow of data, information and knowledge across organisations. Yet, rather than being stuck with endless polarising debates such as breaking down silos, it shifts focus back towards the ultimate "to what end." -Jacky Wright, Chief Digital Officer (CDO), Microsoft US If you care about AI transformation, empowering people or advancing organisational success in an increasingly digital world, then you should read this book. -Yomi Ibosiola, Chief Data and Analytics Officer, Union Bank A retail giant already struggling due to the Covid-19 pandemic was faced with a disastrous situation when-at the end of a critical investment in an artificial intelligence project that had been meant to save money-it suddenly discovered that its implementation was likely to leave it worse off. An entire critical service stream within an insurer's production system crashed. This critical failure resulted in the detentions of fully insured motorists for allegedly not carrying required insurance. Making Data Work details these two scenarios as well as others illustrating the consequences that arise when organizations do not know how to make data work properly. It is a journey to determine what to do to "make data work" for ourselves and for our organisations. It is a journey to discover how to bring it all together so organisations can enable digital transformation, empower people, and advance organisational success. It is the journey to a world where data and technology finally live up to the hype and deliver better human outcomes, where artificial intelligence can move us from reacting to situations to predicting future occurrences and enabling desirable possibilities.

It is now possible to gain competitive advantages based on consolidated R/3 system implementations. One of the most important optimisation aspects is a more consistent process integration in order to bring about fast, secure and cost effective business processes. This approach inevitably leads to Workflow Management and for SAP users to SAP®  WebFlow®. This book introduces the topic of Workflow Management, gives an overview of the technical possibilities of SAP®  WebFlow® and allows the reader to assess SAP workflow project risks and costs/benefits based on real life examples. Check lists and technical hints not only aid the reader in evaluating potential projects but also in the management of real life workflow project engineering.

A database management system (DBMS) is a collection of programs that enable users to create and maintain a database; it also consists of a collection of interrelated data and a set of programs to access that data. Hence, a DBMS is a general-purpose software system that facilitates the processes of defining, constructing, and manipulating databases for various applications. The primary goal of a DBMS is to provide an environment that is both convenient and efficient to use in retrieving and storing database information. It is an interface between the user of application programs, on the one hand, and the database, on the other. The objective of Database Management System: An Evolutionary Approach, is to enable the learner to grasp a basic understanding of a DBMS, its need, and its terminologies discern the difference between the traditional file-based systems and a DBMS code while learning to grasp theory in a practical way study provided examples and case studies for better comprehension This book is intended to give under- and postgraduate students a fundamental background in DBMSs. The book follows an evolutionary learning approach that emphasizes the basic concepts and builds a strong foundation to learn more advanced topics including normalizations, normal forms, PL/SQL, transactions, concurrency control, etc. This book also gives detailed knowledge with a focus on entity-relationship (ER) diagrams and their reductions into tables, with sufficient SQL codes for a more practical understanding.

Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists. The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges. The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity.

The insertion of communication networks in feedback control loops complicates analysis and synthesis of cyber-physical systems (CPSs), and network-induced uncertainties may degrade system control performance. Thus, this book researches networked delay compensation and event-triggered control approaches for a series of CPSs subject to network-induced uncertainties. The authors begin with an introduction to the concepts and challenges of CPSs, followed by an overview of networked control approaches and event-triggered control strategies in CPSs. Then, networked delay compensation and event-triggered control approaches are proposed for CPSs with network communication delay, data dropout, signal quantization, and event-triggered communication. More specifically, networked delay compensation approaches are proposed for linear/nonlinear networked controlled plants with time-varying and random network communication delays and data dropouts. To reduce computational burden and network communication loads in CPSs, event-triggered control, self-triggered control, co-design of event-triggered control and quantized control techniques, and event-triggered disturbance rejection control approaches are also presented. This book is an essential text for researchers and engineers interested in cybersecurity, networked control, and CPSs. It would also prove useful for graduate students in the fields of science, engineering, and computer science.

When a $145 million IT project failure pushes Los Angeles to the edge of financial meltdown, the County CEO asks Max McLellan, a harried IT project manager, aka The Integrator, for help. The County Board gives Max 30 days to identify the problem and find a solution. At first Max finds the usual missteps, but something bigger and darker beckons, an explosive source of project failure. He must do something different, rattling ghosts of previous County IT failures, uncloaking crookedness, and exposing truths that shatter careers. With some people rooting for his failure, Max battles to fit all the pieces together with the County team, applying his proven framework to define the problem, plan a solution and execute it successfully. It's common knowledge that barely 50% of IT projects succeed, per a 2017 Project Management Institute report. Equally well-known, approximately 70% of large-scale change management initiatives fail according to a 2017 McKinsey & Co. report. Given the challenge to overcome these low success rates, The Integrator offers a proven narrative on the organizational change framework for achieving Agile IT project management success based on the author's 45+ year client experiences and published research. The Integrator defines change management as the single overarching methodology integrating Agile IT and project management. It does this because all projects are about change - significant organizational and personal change. The people involved - their participation in and understanding and support of these changes - ultimately determine IT projects success or failure. In fact, while all IT projects are about change, successful projects change human behavior. The methodologies included in the framework, described in The Integrator, include: * Change management as defined by AIM (Accelerating Implementation Methodology). * Project management as defined by the Project Management Institute (PMI) Guide to the Project Management Body of Knowledge (PMBOK Guide) standard. * IT management as derived from the Institute of Electrical Engineers (IEEE) Guide to the Software Engineering Body of Knowledge (SWEBOK) standard. * Agile as defined by the Agile Alliance's Agile Manifesto. Written by a certified Project Management Professional and accredited change management practitioner, The Integrator chronicles the challenges involved in applying this framework in a real-world setting to achieve successful project implementation.

This book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings. Advances in computing power along with the widespread availability of data have led process industries to consider a new paradigm for automated and more efficient operations. The book presents a theoretically proven optimal solution to multi-parametric linear and mixed-integer linear programs and efficient solutions to problems such as process scheduling and design under global uncertainty. It also proposes a systematic framework for the uncertainty-aware integration of planning, scheduling and control, based on the judicious coupling of reactive and proactive methods. Using these developments, the book demonstrates how the integration of different decision-making layers and their simultaneous optimisation can enhance industrial process operations and their economic resilience in the face of uncertainty.

This book introduces readers to the latest advances in sensing technology for a broad range of non-volatile memories (NVMs). Challenges across the memory technologies are highlighted and their solutions in mature technology are discussed, enabling innovation of sensing technologies for future NVMs. Coverage includes sensing techniques ranging from well-established NVMs such as hard disk, flash, Magnetic RAM (MRAM) to emerging NVMs such as ReRAM, STTRAM, FeRAM and Domain Wall Memory will be covered.

Despite the astonishing technological developments in our times, it is surprising how little has changed in the way organizations are structured and managed. However, organizations are finally changing as they embark on agile transformations. Agility concepts emerged from the dynamics of project management and have evolved as they are being applied to organizational structure and operations. This phase of the agile evolution is known as enterprise agility. Filled with real-world scenarios and company case studies, Enterprise Agility: A Practical Guide to Agile Business Management covers the evolution of agility, including applied processes, lessons learned and realized outcomes. The book starts with the initial phase of the agile evolution, project agility and describes how waterfall project management is transformed into scrum, which can have positive effects on project timelines, scope and budget, as well as team motivation. The second phase of agility, organizational agility, is the evolution of the agile principles from temporary projects to permanent organizational structures. The book explains the main components of organizational agility, including structures, roles and ways of organizing work. It emphasizes the advantages of transitioning from traditional organizational management to agile. Finally, the latest phase, enterprise agility, transforms each function of the organization. The book acts as a guide and describes the change through the lens of each managerial domain (sales, marketing, HR, finance etc.) and by presenting the positive impact generated on the company's overall performance based on case studies. The last chapter illustrates the enablers of this transformation and how they can help the change to be internalized so that the enterprises realize improvements. The book is based on the author's over 15 years of experience of supporting more than 25 companies in varied sectors on their transformational journey, with the last 5 years concentrating on agility. By combining business management trends and principles of agile business development, it shows managers how to lead the transformation to enterprise agility by following the path from project agility to full enterprise agility.

An all-inclusive survey of the fundamentals of parallel and distributed computing. The use of parallel and distributed computing has increased dramatically over the past few years, giving rise to a variety of projects, implementations, and buzzwords surrounding the subject. Although the areas of parallel and distributed computing have traditionally evolved separately, these models have overlapping goals and characteristics. Parallel and Distributed Computing surveys the models and paradigms in this converging area of parallel and distributed computing and considers the diverse approaches within a common text. Covering a comprehensive set of models and paradigms, the material also skims lightly over more specific details and serves as both an introduction and a survey. Novice readers will be able to quickly grasp a balanced overview with the review of central concepts, problems, and ideas, while the more experienced researcher will appreciate the specific comparisons between models, the coherency of the parallel and distributed computing field, and the discussion of less well-known proposals. Other topics covered include:

• Data parallelism
• Shared-memory programming
• Message passing
• Client/server computing
• Code mobility
• Coordination, object-oriented, high-level, and abstract models
• And much more

Parallel and Distributed Computing is a perfect tool for students and can be used as a foundation for parallel and distributed computing courses. Application developers will find this book helpful to get an overview before choosing a particular programming style to study in depth, and researchers and programmers will appreciate the wealth of information concerning the various areas of parallel and distributed computing.

INCLUYE CD ROM- PRINCIPIANTE INTERMEIDO La forma inteligente de aprender Microsoft Project, paso a paso. Una forma facil y rapida de aprender por uno mismo como utilizar la gestion de los proyectos en Microsoft Project 2002. Con el "paso a paso" puede estudiar solamente aquellas lecciones que sean necesarias, o trabajar desde la primera leccion hasta la ultima. En ambos casos, sera capaz de practicar y adquirir los conocimientose en el momento que lo considere oportuno. CON ESTE LIBRO: - Desarrolle un plan de proyecto con tareas, recursos y asignaciones. - Aprenda las tecnicas para gestionar varios proyectos y dependencias. - Colabore utilizando Microsoft Project Server y Microsoft Project Access Web. - Domine las herramientas para presentar su plan y crear informes. - Lleve a cabo un seguimiento del progreso y los costes y realice ajustes en tiempo real. - Amplie ademas sus conocimientos de gestion de proyectos con el curso rapido del apendice. El libro incluye un CD-ROM con versiones de prueba de Microsoft Project 2002 Standard y Server totalmente funcionales durante 60 dias, mas los archivos de practica

Features: A systematic and comprehensive understanding of the Block chain technology and the potential in Healthcare. How security and privacy concerns of healthcare data can be addressed using Blockchain Technology. Concept of smart contracts for performing advance level scripting to create a blockchain network for providing a platform for the development of decentralized applications is discussed Chapter on role of blockchain based insurance application using Ethereum/Hyperledger is included Use cases of blockchain for various aspects of drug manufacturing and pharma supply chain..

1. An up-to-date reference on Red Hat 8 with comparisons to Red Hat's 7 and 6 when warranted. 2. A combination of how to use and administer Linux and operating systems concepts (making this text unique to Linux textbooks) written in an easy-to-read manner. 3. Improved chapters on computer networks, regular expressions and scripting. Revised and additional examples to support the concepts in these chapters. 4. Comparisons between Red Hat Linux and other Linux distributions when such comparisons will be useful. 5. A set of ancillary material including a complete lab manual, text bank, power point notes, glossary of terms, instructor's manual and supplemental readings. The supplemental readings will allow for a smaller book while still retaining all of the important content. 6. Improved chapter reviews, added end-of-section activities, additional tables, improved figures (where possible) and "did you know" boxes inserted to provide useful facts.

This book offers a comprehensive overview of basic communication and networking technologies. It focuses on emerging technologies, such as Software-Defined Network (SDN)-based ad hoc networks, 5G, Machine Learning, and Deep Learning solutions for communication and networking, Cloud Computing, etc. It also includes discussions on practical and innovative applications, including Network Security, Smart Cities, e-health, and Intelligent Systems. Future Trends in 5G and 6G: Challenges, Architecture, and Applications addresses several key issues in SDN energy-efficient systems, the Internet of Things, Big Data, Cloud Computing and Virtualization, Machine Learning, Deep Learning, Cryptography, and 6G wireless technology and its future. It provides students, researchers, and practicing engineers with an expert guide to the fundamental concepts, challenges, architecture, applications, and state-of-the-art developments in communication and networking.

In a world bursting with new information, ideas, opportunities, and technological advancements, it is time to rethink how continuous learning shapes our future. Amidst the ongoing digital revolution, widespread educational reform, and the most significant global pandemic of our lifetimes, we are at a pivotal time in history. Transformative Digital Technology for Effective Workplace Learning explores the technological developments that are rapidly unfolding in the workplace and those that support workplace training. What emerges is that the rate of change and the possibilities for improvement are more extensive than many of us might have suspected. From artificial intelligence to virtual reality, from data analytics, to adaptive learning, there is the capacity for significant innovation and opportunity if harnessed in the right ways. The book offers an overview of several critical issues that face the future of the workplace and examines them through the lens of lifelong learning. The book begins by conveying the current impacts on the workplace and how the internal function of learning and development has evolved. It then considers the eight learning imperatives that drive workplace learning and then looks at the future workplace. Exploring technological frameworks for digitally enhanced workplace learning, the book takes a deep dive into the capabilities of immersive technologies, as well as into the insights enabled through learning analytics. The goal of this book is not to merely describe technological advancements in the workplace but instead, to challenge the status quo and think critically about the future that lies ahead. One aim is to have business leaders understand the necessity for ongoing workplace learning. Another is that individuals appreciate that lifelong learning is the new social norm. Ongoing education allows people to become more open to change and less anxious about new experiences. Developing a growth mindset and adopting a company culture that says everyone can learn new things and continue to improve their performance will become the standard. Most importantly, as the business world is reconfigured before our very eyes, ongoing learning must become an economic imperative.

In a world bursting with new information, ideas, opportunities, and technological advancements, it is time to rethink how continuous learning shapes our future. Amidst the ongoing digital revolution, widespread educational reform, and the most significant global pandemic of our lifetimes, we are at a pivotal time in history. Transformative Digital Technology for Effective Workplace Learning explores the technological developments that are rapidly unfolding in the workplace and those that support workplace training. What emerges is that the rate of change and the possibilities for improvement are more extensive than many of us might have suspected. From artificial intelligence to virtual reality, from data analytics, to adaptive learning, there is the capacity for significant innovation and opportunity if harnessed in the right ways. The book offers an overview of several critical issues that face the future of the workplace and examines them through the lens of lifelong learning. The book begins by conveying the current impacts on the workplace and how the internal function of learning and development has evolved. It then considers the eight learning imperatives that drive workplace learning and then looks at the future workplace. Exploring technological frameworks for digitally enhanced workplace learning, the book takes a deep dive into the capabilities of immersive technologies, as well as into the insights enabled through learning analytics. The goal of this book is not to merely describe technological advancements in the workplace but instead, to challenge the status quo and think critically about the future that lies ahead. One aim is to have business leaders understand the necessity for ongoing workplace learning. Another is that individuals appreciate that lifelong learning is the new social norm. Ongoing education allows people to become more open to change and less anxious about new experiences. Developing a growth mindset and adopting a company culture that says everyone can learn new things and continue to improve their performance will become the standard. Most importantly, as the business world is reconfigured before our very eyes, ongoing learning must become an economic imperative.

This book describes the detailed concepts of mobile security. The first two chapters provide a deeper perspective on communication networks, while the rest of the book focuses on different aspects of mobile security, wireless networks, and cellular networks. This book also explores issues of mobiles, IoT (Internet of Things) devices for shopping and password management, and threats related to these devices. A few chapters are fully dedicated to the cellular technology wireless network. The management of password for the mobile with the modern technologies that helps on how to create and manage passwords more effectively is also described in full detail. This book also covers aspects of wireless networks and their security mechanisms. The details of the routers and the most commonly used Wi-Fi routers are provided with some step-by-step procedures to configure and secure them more efficiently. This book will offer great benefits to the students of graduate and undergraduate classes, researchers, and also practitioners.

Whether you're taking the CPHIMS exam or simply want the most current and comprehensive overview in healthcare information and management systems today, this completely revised and updated fourth edition has it all. But for those preparing for the CPHIMS exam, this book is also an ideal study partner. The content reflects the outline of exam topics covering healthcare and technology environments; clinical informatics; analysis, design, selection, implementation, support, maintenance, testing, evaluation, privacy and security; and management and leadership. Candidates can challenge themselves with the sample multiple-choice questions given at the end of the book. The benefits of CPHIMS certification are broad and far-reaching. Certification is a process that is embraced in many industries, including healthcare information and technology. CPHIMS is recognized as the 'gold standard' in healthcare IT because it is developed by HIMSS, has a global focus and is valued by clinicians and non-clinicians, management and staff positions and technical and nontechnical individuals. Certification, specifically CPHIMS certification, provides a means by which employers can evaluate potential new hires, analyze job performance, evaluate employees, market IT services and motivate employees to enhance their skills and knowledge. Certification also provides employers with the evidence that the certificate holders have demonstrated an established level of job-related knowledge, skills and abilities and are competent practitioners of healthcare IT.

The agile transformation is an act of transforming an organization's form or nature gradually to one that can embrace and thrive in a flexible, collaborative, self-organizing, and fast-changing environment. It seems like most of the companies starting an agile transformation never reach the goal of agility, but there are those few that truly become agile and reap incredible benefits by utilizing DevOps as well. This book introduces the theory and practice of the "double-flywheels model" of Continuous Delivery 2.0: Discovery Loop, which allows information technology (IT) organizations to help businesses figure out the most efficacious ways to develop. Additionally, it explores applications of the Verification Loop that allows IT organizations to deliver value quickly and safely with high quality. Along the way, the book provides an array of insights and case studies that dive into all the aspects of software delivery, and how to implement Continuous Delivery in the most economical way for long-run business development. Features Organization culture and software architecture Business requirement management Pipeline and tooling Branching and releasing strategy Automation strategy Configuration and artefacts management Deployment and production healthy The case studies at the end of the book-scenarios in which the author was personally involved-are explored in depth and meticulously detailed in order to represent typical agile transition scenarios that will benefit all readers.