Network management Books

Book SynopsisThis comprehensive guide explores the fundamentals of digital business, from understanding digital business models to leveraging emerging technologies and trends.The work begins by examining the rise of digital business and the disruption it caused within traditional industries. Chapters then delve into key topics such as building a digital business strategy, designing a strong online presence, e-commerce, digital marketing, data analytics, cybersecurity, and more. Written in a clear and accessible style, the author provides real-world examples to illustrate how successful companies have leveraged digital technologies to drive growth and achieve their business goals. Each chapter features case studies, learning objectives and key discussion questions to augment student learning.This new text is recommended reading for undergraduate and postgraduate students of Digital Business, Digital Marketing, and Business Analytics. It will also be valuable reading for reflective practitioners in the industry.The book is accompanied by online resources including PowerPoint slides, an instructor's manual, a test bank of questions, and worksheets for each chapter, providing instructors with the necessary tools to keep their courses up to date, engaging, and effective in preparing students for the ever-changing digital business landscape.

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Book SynopsisData Analysis for Business Students: A Mind-Mapping Approach is an innovative educational resource that guides business students in mastering the essential concepts and methodologies of data analysis. This textbook's unique instructional design incorporates mind maps, a proven cognitive tool to streamline the learning experience, making complex data analysis concepts more digestible. Organised into six parts, the textbook covers introductory topics, data collection and presentation, basic and advanced data analytics techniques, special issues in data analysis, and data analysis in the digital world. By integrating mind maps with practical applications and real-world case studies, the textbook equips students with the analytical acumen necessary to navigate the data-rich business world.This unique pedagogical approach offers three key advantages: Simplifying complex information: Mind maps systematically organise information, making it easier for students to understand complex data analysis concepts. Improving memory retention: By linking pieces of information together, mind maps stimulate the brain, activating long-term memory, and enhancing memory retention. Increasing student engagement: Mind maps can help students prepare for class activities, enabling a deeper understanding of the subject and allowing instructors to focus more on practical skills and critical thinking. With extensive online resources, including PowerPoint slides, an instructor's manual, a quiz bank, and tutorial questions, as well as instructional videos on creating your own mind maps, Data Analysis for Business Students: A Mind-Mapping Approach offers a fresh and invigorating look at the subject which will be highly valued by business students at advanced undergraduate and postgraduate level.

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Book SynopsisReleased in 2017, the first edition of Why CISOs Fail reimagined the role of the Chief Information Security Officer in a new and powerful way. Written to be easily consumable by both security pros as well as everyone who must deal with them, the book explores the different realms in which security leaders fail to deliver meaningful impact to their organizations, and why this happens. Its central thesisthat security is primarily a human behavioral discipline rather than a technology onehas been gaining increased attention as a core tenet of the field, and the book was ultimately inducted into the cybersecurity canon as a leading book on security management. In this freshly updated edition, Barak Engel adds new sections that correspond with the chapters of the original book: security as a discipline; as a business enabler; in sales; in legal; in compliance; in technology; and as an executive function. He explores new ideas in each operational area, providing essential insights into em

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Book SynopsisFinance Transformation: Leadership on Digital Transformation and Disruptive Innovation is a general and wide-ranging survey of Finance Transformation and Emerging Technologies. Finance and IT have long been important areas of any business, but recent technological developments are both innovating and disrupting both. This book lays a path towards the benefits and away from potential risks. It covers the widest array of topics from quantum computing to blockchain technology, from organizational culture and diversity to hybrid working, from regulation to cybersecurity. Written by two vastly experienced industry professionals, the book includes real-life examples and up-to-date references. It will be of particular interest to business stakeholders, executives, and policymakers.

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Book SynopsisAI is evolving in a way that mirrors how past technologies were initially adopted. Right now, most organizations are adding AI tools to their existing systems without rethinking their overall processes. But to fully unlock the potential of AI, companies will eventually need to build their operations around it.As Generative AI continues to develop, itâs becoming more context-aware, capable of understanding situations and making decisions. This shift will move AI beyond simply improving individual tasks. It will enable smarter organizational interactions, powered by technologies like Knowledge Graphs for understanding and Intelligent Agents for decision-making.Over time, businesses will transform into AI-Centered Enterprises (ACEs), using this advanced technology to create new value in internal marketplaces. Unlike past approaches like Business Process Reengineering, this change isnât about completely overhauling processes. Instead, itâs about rethinking how information flows within organizations. With Context-Aware AI, companies can identify and fix information bottlenecks, enabling smoother, more dynamic communication through flexible, agentic AI platforms rather than rigid, tightly-structured systems.Understanding this transformation requires a basic understanding of how businesses work. It also means recognizing the limits of AI and knowing where human expertise is still essential. This book offers that knowledge, along with real-life examples and practical tips to help businesses navigate this transformation.

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Book SynopsisStructured into four distinct parts, this book is an indispensable resource for navigating the evolution of education and professional training in the age of artificial intelligence and virtual reality. The first part begins with an introduction to the current context, a period marked by crisis and a digital industrial revolution, emphasizing how the advent of cutting-edge technologies such as artificial intelligence is fundamentally altering work and social dynamics. It then examines AI, exploring its distinctive features compared to human intelligence and introducing the concept of spatial computing. It illustrates how these technological advancements are expanding the possibilities for human-machine interaction. In the second part, the focus shifts to artificial intelligence, the importance of data in training intelligent systems, and the emerging concept of the augmented worker. This section explores how AI can enhance human capabilities, facilitate more efficient

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Book SynopsisThis volume represents the proceedings of the 2014 3rd International Conference on Innovation, Communication and Engineering (ICICE 2014).Table of ContentsAdvanced material science & engineering; Applied mathematics; Ceramics and glass; Communication science & engineering; Computer & information science; Computer science & information technology; Cultural & creative research; Design theory & knowledge innovation; Digital content & digital technology; Electrical & electronic engineering; Engineering materials & industrial applications; Green technology & architecture engineering; Green technology material; Industrial design & design theory; Innovation design & creative design; Internet technology; Management science; Materials for sustainable society; Mechanical & automation engineering; Media design & technologists; Nanomaterials application; Other; Thin film & device process

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Book SynopsisNo one can disagree that benefits are good things. Whether you are responsible for projects, programs, or portfolios, you are increasingly expected to thinkand actin an appropriate benefits-driven way. However: Do you understand that what may be appropriate for a project may be inapplicable for a program? Can you avoid the trap of wishful thinking based on overinflated expectations and underestimated costs? Can you manage your program or portfolio from inception to final delivery in a consistent, benefits-focused way based on a single, coherent model? This book describes how Earned Benefit Program Management techniques provide an innovative, all-inclusive model and set of tools developed specifically to answer these questions. This model consolidates the key concepts of project, program, and portfolio management and ensures that all program and portfolio management steps are carried out based on a single, signed-off model in a consistent, verTable of Contents1. Defining the Domains. 2. Understanding the Problem. 3. A Life Cycle for Program Management, Benefits Management,. and Business Analysis. 4. Building an Integrated Business Model. 5. Calculating the Model. 6. Disbenefits and Essential Links. 7. Applying the BRM Approach to the QERTS Example. 8. A Generalized Approach to Scheduling and Cash Flow. 9. Total Risk and Issue Management. 10 Resource Capacity Planning. 11. Procurement. 12. Implementation Tracking—Earned Benefit. 13. Business Key Performance Indicators. 14. Stakeholder Analysis. 15. Communication—Why, How, and What. inale. Benefit Mapping the Book. Appendix. Carrying Out the Calculations. Acronyms. Glossary. Bibliography.

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Book SynopsisMany professionals and students in engineering, science, business, and other application fields need to develop Windows-based and web-enabled information systems to store and use data for decision support, without help from professional programmers. However, few books are available to train professionals and students who are not professional programmers to develop these information systems. Developing Windows-Based and Web-Enabled Information Systems fills this gap, providing a self-contained, easy-to-understand, and well-illustrated text that explores current concepts, methods, and software tools for developing Windows-based and web-enabled information systems. Written in an easily accessible style, the book details current concepts, methods, and software tools for Windows-based and web-enabled information systems that store and use data. It is self-contained with easy-to-understand small examples to walk through concepts and implementation details along with large-scTrade Review"This book takes a comprehensive approach to cover the topics of information systems and their development. At the same time it has detailed examples to help readers at different levels. … detailed examples and case studies makes it a good textbook and reference for readers of diverse backgrounds."—Xiangyang Li, Johns Hopkins University"The main strength of this book is that it is written by industrial engineering professors that understand how to present important data management concepts to engineers that may not have a computer science background. Most books on data management and information systems are written with the computing professional in mind. This book finally gives engineers an understandable approach to learning the fundamental data management concepts that are relevant to engineering applications."—Susan D Urban, Texas Tech University"The book is provides a comprehensive introduction to the concepts of information systems. Furthermore, this book has struck the right balance of having sufficient business case concepts for implementing information systems as well as including important technical theories on designing databases."—Eugene Rex L. Jalao, Ph.D., University of the Philippines Diliman"… the most comprehensive book to introduce information system. … covers all the topics related to information system from theoretical background to practical applications. … organized very well and considers the diversity of the readers which will attract a huge number of audiences. … the best textbook for information system related class at both the undergraduate and graduate levels. … covers lots of complex case studies."—Mengqi Hu, Mississippi State UniversityTable of ContentsFoundations of Information Systems. Boolean algebra and digital logic circuits. Digital data representation. Computer system software. Network system software. Information Assurance. An Overview of Information Systems for Window and Web Applications. Database Design and Development. Data Modeling: E-R and EE-R Modeling. Data modeling: Relational Data Modeling and Normalization. SQL. Access. MySQL. Object-Oriented Database. Windows Application Development. Visual Basic Programming I. Visual Basic Programming II. Visual Basic Programming III. Windows Forms and Controls with VBA. Database connectivity with VBA. Windows Forms and Controls with VB.NET. Database connectivity with VB.NET. Web Application Development. Chapter 20. Web applications. Web services. Working with XML I. Working with XML II. Case Studies. A Business Application - Use of VB A and Database. An Engineering Application - Use of VB. NET and Database. A Science Application - Use of ASP.NET and Database.

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Book SynopsisDigital transformation is a business concern; it is no longer just IT that must get things done.The disruptive force of start-ups focusing on IT-based services that can be consumed through mobile devices cannot be underestimated -- These start-ups eat away at the high-margin services provided by incumbents, leaving lower margin products and services that are rapidly being commoditized. This is happening in all industry sectors and it is the ones who are best able to adjust, innovate, and improve their service offerings that will survive. The question is: What do you need to do to ensure that your organization is one of the survivors?The core of the solution to the problem is to radically improve the way the IT organization works together with the business. To be clear, the digital transformation of your business depends on that relatively small group of people in the basement, or other out-of-the-way location, who make surethat your IT services worTable of ContentsPreface. Introduction. Transformation. PART I: The Goal. Chapter 1: Lean IT. Chapter 2: The IT Context. Chapter 3: Lean IT Transformation. Chapter 4: The Basics of Lean. Chapter 5: Lean IT and its Relations. Chapter 6: Becoming Lean. PART II: Starting Out. Chapter 7: The First Steps. Chapter 8: Ways To Start. Chapter 9: Leadership Awakens. Chapter 10: Transformation Plan. Chapter 11: Transforming To Lean IT. Chapter 12: Change Story. PART III: Leadership Transformation. Chapter 13: Before starting the Leadership Transformation. Chapter 14: Change Story - revisited. Chapter 15: Fulfilling the Commitment. Chapter 16: Go See. Chapter 17: Control. Chapter 18: Organizing for Flow. Chapter 19: Leadership Kaizen. Chapter 20: High Performance Team. PART IV: Team Transformation. Chapter 21: Getting Teams Prepared. Chapter 22: Analyzing a team. Chapter 23: Implementing. PART V: Continuous Improvement. Chapter 24: Improving. Chapter 25: Investigating Problems. Chapter 26: Embedding Solutions. Chapter 27: The Road Goes On. References. Glossary. Appendices.

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Book SynopsisWritten by experienced process improvement professionals who have developed and implemented computer based systems in organizations around the world, Interpreting the CMMI: A Process Improvement Approach, Second Edition provides you with specific techniques for performing process improvement. Employing everyday language and supported by real world examples, the authors describe the fundamental concepts of the CMMI model, covering goals, practices, architecture, and definitions, and provide a structured approach for implementing the concepts of the CMMI into any organization. They discuss getting started in the process improvement effort, as well as how to continue on to high maturity. They walk you through the myriad of charts and graphs involved in statistical process control and offer practical recommendations. They also provide information on blending different process improvement initiatives into organizational programs (including agile development), Table of ContentsSection I: Introduction.Introduction. Beginning the Journey. Structure of the CMMI. CMMI Representations. Section II: CMMI Process Areas.Understanding Maturity Level 2: Managed. Understanding Maturity Level 3: Defined. Understanding Maturity Level 3: Defined. Understanding Maturity Level 4: Quantitatively Managed. Understanding Maturity Level 5: Optimizing. Section III: Implementation.Alignment of Multiple Process Improvement Initiatives.Is CMMI Right for Small Organizations? Establishing Your Process Improvement Organization.People, Roles, and Responsibilities.Documentation Guidelines.Documentation Guidelines.Planning and Tracking the Effort.Defining Processes, Procedures, Policies, and Charters.Section IV: Measurement.Measurement within the CMMI.A Boatload of Metrics.A Boatload of Metrics.Statistical Process Control. A High-Maturity Perspective.Section V: Appraisals.Appraisals Using the CMMI.The SCAMPI A Approach.Those Damn PIIDs!Section VI: Odds and Ends.Agile and the CMMI.Closing Thoughts.References and Further Reading.Section VII: Appendices.Appendix A: Comparing CBI-IPI to SCE to SCAMPI.Appendix B: Myths and Legends of the CMMI.Appendix C: Checklists for Pilot Projects. Appendix D: Organizational In-Brief to SCAMPI Team.Index.

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Book SynopsisCISO''s Guide to Penetration Testing: A Framework to Plan, Manage, and Maximize Benefits details the methodologies, framework, and unwritten conventions penetration tests should cover to provide the most value to your organization and your customers. Discussing the process from both a consultative and technical perspective, it provides an overview of the common tools and exploits used by attackers along with the rationale for why they are used. From the first meeting to accepting the deliverables and knowing what to do with the results, James Tiller explains what to expect from all phases of the testing life cycle. He describes how to set test expectations and how to identify a good test from a bad one. He introduces the business characteristics of testing, the imposed and inherent limitations, and describes how to deal with those limitations. The book outlines a framework for protecting confidentiaTrade ReviewStaying in front of the bad guys and sometimes protecting yourself from the brain-dead acts in corporate environments are keys to successful security measures. Tiller teaches on the simplicity of security, breaking it down from smoke and mirrors to time-proven measures... I have enjoyed reading Tiller's books in the past; his approach and ability to break down what is sometimes made to look like a complicated structure allows for not only a better understanding but a framework that is able to stand the test of time. - Jeffrey Schmidt, Global Head Business Continuity, Security, and Governance, BT Global ServicesTable of ContentsHacking and Security. Hacking Impacts. Black and White. Information Security. The Hacker. The Security Consultant. Business Justification. The Business of Security. Expectations. Timing is Everything. Reasoning. Consultative Approach. Ethics. Logistics. Methodology. Reconnaissance. Vulnerability Assessment. Testing. Tools and Technology. Exposures. Top 25 Tools. Scenarios. Conclusion.

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Book SynopsisProgram management is a rapidly emerging offshoot of project management. So much so that AT&T, IBM, and other organizations, both large and small in all sectors, have initiated a push to certify program managers. And, although universities offer courses in program management, there are few books available to guide program managers through this field that requires a broad level of knowledge and experience. The definitive reference on program management, Program Management: A Life Cycle Approach provides this much needed guidance. Edited by Dr. Ginger Levin, the second person to become a PMI certified program manager (PgMP), this handbook presents a cohesive compilation of program management knowledge from more than 20 certified PgMPs. It considers the entire program life cycle and its phasesfrom initiation to sustainability. Each chapter is written by an experienced PgMP from a wide range of industries and countries. Table of ContentsThe Business Aspects of Program Management. The Opportunity Phase for Program Management. The Increasing Importance of Social Media in Program Management. Programs and Risk Management. Programs and Benefits Management. Programs and Stakeholder Management. Programs and Communications Management. Complexity and Program Communications. Governance and Program Management – Three Unique Views. Program Manager Interpersonal Skills and Competencies. Managing Multiple Vendors on Programs Using Earned Value. Innovation and Program Management. The Program Management Office. Sustainability of Program Management.

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Book SynopsisThis is not another how-to guide for program managers or another reiteration of the Project Management Institute's standards for program management. Instead, Program Management Leadership: Creating Successful Team Dynamics examines various leadership approaches and illustrates the value of effective leadership styles in Program Management for achieving program and project success.Identifying critical success factors specific to program management, the book focuses on effective leadership styles and the power of teamwork in exceeding expectations. It starts by examining various leadership styles and traitsproviding helpful insights on the tough choices leaders are often forced to make. It describes effective methods to help leaders work with stakeholders and team members to set visions and objectives so that program goals are achieved with greater frequency.Next, the book further examines teams and explains how to bring people from various experiTable of ContentsIntroduction. Leadership and Program Management. Leadership Study. Developing and Achieving a Common Vision. The History of Project and Program Management. Distinction between Portfolio, Program, and Project Management. Leadership. Introduction to Leadership. External Factors Affecting Leadership. Individual Motivation. Leadership Theories. Leadership in Program Management. Leadership and Teams. Building Teams. Team Dynamics. High-Performing Teams (HPTs). Conflict Resolution. Case Study in Leading Teams. Formal Leadership Processes. Formal Processes.

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If you want to be a successful project manager, you need to become a person of influence. Without influence, there can be no success as a project manager. And, although all key success criteria point to the importance of developing soft skills as a project manager, few books exist about how to develop the power of influence for achieving better project and business results. Filling this need, The Influential Project Manager: Winning Over Team Members and Stakeholders supplies detailed guidance on how to improve your influence skills to achieve better business results. It explains how to set and meet ambitious goals for you, your team, and your stakeholders. The book describes how to listen actively to influence others and details how you can build partnerships that can pay dividends for a lifetime. Each chapter highlights real-world scenarios about a particular subject linked to the influencing skill being covered. Each chapter also includes practica

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Book SynopsisAs executives build and nurture their organization's strategic agility in today's turbulent, uncertain business environment, the ability to lead strategic change has become more critical than ever. The Strategic Project Leader: Mastering Service-Based Project Leadership, Second Edition will help project managers lead with confidence in temporary, ambiguous team structures that execute risk-laden work in an increasingly agile project environment.Like the first edition, this edition encourages readers to take ownership of their leadership agenda and become disciplined in the processes of building a framework of leadership skills. Readers are introduced to a new role: the service-based project leader. This role serves the entire project organization by creating a meaningful experience for team members, customers, and critical stakeholders. The book provides practical guidance to help you move from project manager to service-based project leader. Detailing a frameTrade ReviewThe second edition of The Strategic Project Leader builds on the first edition’s competency and self-directed leadership models to guide not just project managers but anyone in a leadership role in projects to master service-based project leadership. ... By using the tools in this book, not only will your organization’s projects have a greater chance of coming in on time, on budget, and according to specs, but your organization will sustain the continuous transformation required to remain competitive. —Dr. Frank B. McCluskey, Provost and Executive Vice President (retired), American Public University System Praise for the First Edition:... a truly uplifting book with a self-directed plan to build leadership competencies and recommended tools for establishing compatibility and trust that allows project leaders to truly change the world by connecting their values with their work.–Dr. Tony Alessandra, author of The Platinum Rule and Charisma Jack has taken the vast body of research in project management and leadership and boiled it down to its essential elements. He provides clear direction on HOW to implement leadership practices.–Carl Pritchard, President, Pritchard Management Associates and author of Risk Management: Concepts & Guidance …demonstrates that project managers are strategic leaders for their respective organizations as project management is a strategic advantage for the organization. I highly recommend this interesting and easy-to-read book.–Ginger Levin, DPA, PMP, Project Management Consultant and co-author of The Advanced Project Management Office Jack writes in an engaging way and his concern for the trade is infectious. Being a practitioner myself, I can only say: run and read!–Merete Munch Lange, Project Manager ... walks us through what it takes to be more than just a project leader, but to be a service-based project leader ... the crème de la crème ... the enablers of the organization. It is a must-read for project managers who want to transform the way they lead.–Sandy Weiner, Master Certified Coach, Managing Partner, 1-Focus InternationalBy emphasizing the leading of people and providing a roadmap for personal development, Ferraro has created an interesting and practical book.–SciTech Book News, May 2008Table of ContentsThe New Project Leader. The Service-Based Project Leader’s Competency Pyramid. Self-Directed Project Leadership Development.

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Book Synopsis Preparing for and passing the PMP exam is no small feat. Although the number of certified PMPs continues at a phenomenal rate, the exam failure rate remains uncommonly high. PMP Exam Challenge! is designed to help readers pass the exam by giving them an easy-to-use, highly portable publication, containing key relevant topics they are certain to encounter on the exam. Featuring 660 practice questions, this sixth edition completely reflects the PMBOK Guide, Fifth Edition and covers the guide's ten knowledge areas.Table of ContentsProject Integration ManagementProject Scope ManagementProject Time ManagementProject Cost ManagementProject Quality ManagementProject Human Resource ManagementProject Communications ManagementProject Risk ManagementProject Procurement ManagementProject Stakeholder Management

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Book SynopsisPgMP Exam Practice Test and Study Guide, Fourth Edition is the book you need to pass the Program Management Professional (PgMP) exam the first time around. It reflects recent revisions based on PMI''s Standard for Program Management - Third Edition (2013).Based on best practices that complement PMI's standards, this is the most comprehensive and up-to-date resource available to help you prepare for the exam with new and changed terminology. It includes a list of the major topics covered on the exam organized by the five performance domainsstrategic program management, program life cycle, benefits management, stakeholder management, and governanceas presented in the Program Management Professional Examination Content Outline. It also includes helpful tips on how to make the most of the time you have available to prepare for the exam. Just like its bestselling predecessors, this indispensable Table of ContentsIntroduction. Strategic Program Management. Initiating the Program. Planning the Program. Executing the Program. Controlling the Program. Closing the Program. Benefits Management. Stakeholder Management Governance. Practice Test 1. Practice Test 2. References.

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Book SynopsisThe growing complexity of projects today, as well as the uncertainty inherent in innovative projects, is making obsolete traditional project management practices and procedures, which are based on the notion that much about a project is known at its start. The current high level of change and complexity confronting organizational leaders and managers requires a new approach to projects so they can be managed flexibly to embrace and exploit change. What once used to be considered extreme uncertainty is now the norm, and managing planned projects is being replaced by managing projects as they evolve. Successfully managing projects in extreme situations, such as polar and military expeditions, shows how to manage successfully projects in today's turbulent environment. Executed under the harshest and most unpredictable conditions, these projects are great sources for learning about how to manage unexpected and unforeseen situations as they occur. This book presents multiple case Table of ContentsForeword. Introduction: Blowing Hot and Cold on Project Management. A Polar Expedition Project and Project Management. Ambidexterity as a Project Leader Competency: A Comparative Case Study of Two Polar Expeditions. Mobilization and Sensibility on Polar Expeditions: More than Mere Motivation. Mobilizing Social Networks beyond Project Team Boundaries: The Case of Polar Expeditions. A Methodology for Investigating the "Actual" Course of a Project: The Case of a Polar Expedition. A Traditional Cree Expedition on the Ancestral Lands of the Neeposh Family of Northern Québec. Borrowing Concepts from Expedition Travel to Stimulate Alternative Tourism. The Project Front End: Financial Guidance Based on Risk. Lessons Learned from Sports Climbing: Some Disrespectful Discourse on Project Planning. Managing Extreme Situations in Fire and Rescue Organizations: The Complexity in Implementing Feedback. Coordination Practices in Extreme Situations: Lessons from the Military. Developing Collective Competence in Extreme Project Teams: The French Special Forces Case. Situated Teams: Dropping Tools on Mount Everest. Planning Risk and Cool Heads: Survival Conditions Required for Managing Projects. Flexibility and Rigidity in Planning a Program: The Case of the Montreal Metro Renovation Project. Project Manager: Specialist or Generalist? Project Management and the Unknown. Control and Flexibility: Which Balance Do We Mean? Conclusion. Epilog. Afterword: Looking for the Ordinary in the Extraordinary! Index.

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Book SynopsisAlmost all leadership books assume that the leader has authority over their team members. The challenge of project management in a matrix-structured environment is that this is not always the case. A whole new plan of attack has to be executed for the project manager to deliver in an organization where they do not have formal authority. This book takes a unique approach to understanding the matrix structure and the tactics needed to succeed. The Self-Made Program Leader: Taking Charge in Matrix Organizations gives you insight into the minds of a group of 55 project, program, and portfolio managers who have worked in a matrix environment. It presents lessons learned from both their successes and failures. With this book, you will learn how to: Prepare for your leadership role in a matrix environment and understand what you need to improve Understand your organization's structure and identify the hidden key players on your team Table of ContentsWhy What Got You There Will Not Work Now. Preparing for Your Leadership Role. Understanding Your Organizational Structure. Gaining Influence through Volunteering. Building Your Coalition. Gaining Influence. Leadership Perceptions for Those without Authority. Conclusion.

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Book SynopsisWith this practical guide, system administrators and engineers will learn how to use this open source tool to track operational data you need to monitor your systems, as well as application-level metrics for profiling your services.

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Book SynopsisThanks to the advancement of faster processors within communication devices, there has been a rapid change in how information is modulated, multiplexed, managed, and moved. While formulas and functions are critical in creating the granular components and operations of individual technologies, understanding the applications and their purposes in the business environment only requires a basic scientific background. The third edition of Introduction to Communications Technologies: A Guide for Non-Engineers helps students in telecommunications business programs become familiar with and stay abreast of the ever-changing technology surrounding their industry.Used in the core curriculum at Ball State University's graduate professional program in Information and Communication Sciences, this textbook is designed for graduate and undergraduate students who do not necessarily have a high level of technical expertise, but need to have some understanding of the technical functions Table of ContentsSystems and Models of Communications Technologies: Shannon–Weaver, von Neumann, and the Open System Interconnection Model. Basic Concepts of Electricity. Modulation Schemes. Signaling Formats, Multiplexing, and Digital Transmissions. Legacy to Current-Day Telephone Networks. Basics of Multiprotocol Label Switching Networking. Local Area Network Technology. The Language of the Internet: Transmission Control Protocol/Internet Protocol (TCP/IP). Wireless Local Area Networks. Mobile Wireless Technologies. Virtualization. Analyzing Big Data. The Cloud and Cloud Computing. Video Basics. Digital Media. Network Security and Management.

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Book SynopsisSoftware-Defined Data Infrastructures Essentials provides fundamental coverage of physical, cloud, converged, and virtual server storage I/O networking technologies, trends, tools, techniques, and tradecraft skills. From webscale, software-defined, containers, database, key-value store, cloud, and enterprise to small or medium-size business, the book is filled with techniques, and tips to help develop or refine your server storage I/O hardware, software, and services skills. Whether you are new to data infrastructures or a seasoned pro, you will find this comprehensive reference indispensable for gaining as well as expanding experience with technologies, tools, techniques, and trends.We had a front row seat watching Greg present live in our education workshop seminar sessions for ITC professionals in the Netherlands material that is in this book. We recommend this amazing book to expand your converged and data infrastructure knowledge from beginners to industTable of ContentsPart One: Server Storage I/O, Software-Defined and Data InfrastructuresChapter 1: Server Storage I/O and Data Infrastructure FundamentalsChapter 2: Application and IT EnvironmentsPart Two: Server I/O and Networking Deep DiveChapter 3: Bits, Bytes, Blobs, and Software-Defined Building BlocksChapter 4: Servers: Physical, Virtual, Cloud, and ContainersChapter 5: Server I/O and NetworkingChapter 6: Servers and Storage-Defined NetworkingPart Three: Storage Deep Dive and Data ServicesChapter 7: Storage Mediums and Component DevicesChapter 8: Data Infrastructure Services: Access and PerformanceChapter 9: Data Infrastructure Services: Availability, RAS, and RAIDChapter 10: Data Infrastructure Services: Availability, Recovery-Point Objective, and SecurityChapter 11: Data Infrastructure Services: Capacity and Data ReductionChapter 12: Storage Systems and Solutions (Products and Cloud)Part Four: Putting Software-Defined Data Infrastructures TogetherChapter 13: Data Infrastructure and Software-Defined ManagementChapter 14: Data Infrastructure Deployment ConsiderationsChapter 15: Software-Defined Data Infrastructure Futures, Wrap-up,and SummaryAppendix A: Learning ExperiencesAppendix B: Additional Learning, Tools, and Tradecraft Tricks

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Book SynopsisThe proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.Table of ContentsPrefaceEditorsContributorsSection I Introduction to the Human Element of Big Data: Definition, New Trends, and Methodologies1 Taming the Realm of Big Data Analytics: Acclamation or Disaffection?Audrey Depeige2 Fast Data Analytics Stack for Big Data AnalyticsSourav Mazumder3 Analytical Approach for Big Data in the Internet of ThingsAnand Paul, Awais Ahmad, and M. Mazhar Rathore4 Analysis of Costing Issues in Big DataKuldeep Singh Jadon and Radhakishan YadavSection II Algorithms and Applications of Advancement in Big Data5 An Analysis of Algorithmic Capability and Organizational ImpactGeorge Papachristos and Scott W. Cunningham6 Big Data and Its Impact on Enterprise ArchitectureMeena Jha, Sanjay Jha, and Liam O’Brien7 Supportive Architectural Analysis for Big DataUtkarsh Sharma and Robin Singh Bhadoria8 Clustering Algorithms for Big Data: A SurveyAnkita Sinha and Prasanta K. JanaSection III Future Research and Scope for the Human Element of Big Data9 Smart Everything: Opportunities, Challenges, and ImpactSiddhartha Duggirala10 Social Media and Big DataRichard Millham and Surendra Thakur11 Big Data Integration, Privacy, and SecurityRafael Souza and Chandrakant Patil12 Paradigm Shifts from E-Governance to S-GovernanceAkshi Kumar and Abhilasha SharmaSection IV Case Studies for the Human Element of Big Data: Analytics and Performance13 Interactive Visual Analysis of Traffic Big DataZhihan Lv, Xiaoming Li, Weixi Wang, Jinxing Hu, and Ling Yin14 Prospect of Big Data Technologies in HealthcareRaghavendra Kankanady and Marilyn Wells15 Big Data Suite for Market Prediction and Reducing Complexity Using Bloom FilterMayank Bhushan, Apoorva Gupta, and Sumit Kumar Yadav16 Big Data Architecture for Climate Change and Disease DynamicsDaphne Lopez and Gunasekaran ManogaranIndex

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Book SynopsisThis book is about the process of using analytics and the capabilities of analytics in today's organizations. Cutting through the buzz surrounding the term analytics and the overloaded expectations about using analytics, the book demystifies analytics with an in-depth examination of concepts grounded in operations research and management science. Analytics as a set of tools and processes is only as effective as: The data with which it is working The human judgment applying the processes and understanding the output of these processes. For this reason, the book focuses on the analytics process. What is intrinsic to analytics' real organizational impact are the careful application of tools and the thoughtful application of their outcomes. This work emphasizes analytics as part of a process that supports decision-making within organizations. It wants to debunk overblown expectations that somehow analytics outputs or analytics as applied toTable of ContentsSECTION I. ANALYTICS PROCESS CONCEPTS. About the Analytics Process. Illustrating the Analytics Process through Risk Assessment. and Modeling. Analytics, Strategy, and Management Control Systems. SECTION II. ANALYTICS PROCESS APPLICATIONS. Data, Information, and Intelligence. The Rise of Big Data and Analytics in Higher Education. Google Analytics as a Prosumption Tool for Web Analytics. Knowledge-Based Cause–Effect Analysis Enriched by Generating Multilayered DSS Models. Online Community Projects in Lithuania: Cyber Security Perspective. Exploring Analytics in Health Information Delivery to Acute Health Care in Australia. Information Visualization and Knowledge Reconstruction of RFID Technology Translation in Australian Hospitals. Health Care Analytics and Big Data Management in Influenza Vaccination Programs: Use of Information–Entropy Approach. Sharing Knowledge or Just Sharing Data? Index.

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Book SynopsisThis is an edited book based on the selected submissions made to the conference titled International Conference in Smart Cities. The project provides an innovative and new approach to holistic management of cities physical, socio-economic, environmental, transportation and political assets across all domains, typically supported by ICT and open data.Table of ContentsAdoption and Acceptance of Mandatory Electronic Public Services by Citizens in the Developing World. Self-Sustainable Integrated Township. Smart People for Smart Cities. How Smart Cities influence Governance? Role of Manufacturing Sector to Develop Smart Economy. Concept of Smart Village in India. Smart City. Smart City Technologies. A Cloud-Based Mobile Application for Cashless Payments. Financial Viability of Energy Conservation using Natural Light. Information Risk for Digital Services. Mobile Commerce Research for Individual, Business and Society. The Shift Toward a Sustainable Urban Mobility through Decision Support Systems.

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Book SynopsisFor the first time ever, clear, comprehensive information about the major e-learning standards has been brought together in a single resource. No more confusing patchworks of information gleaned from scattered Web sites and periodicals. No more frustrating searches through hundreds of pages of technical specifications to find the twenty pages that apply to you. No more sorting through the alphabet soup of acronyms trying to discern which of them you need. Written by the developers of the first Learning Management System (LMS) to be AICC-certified for Web-based interoperability, E-Learning Standards: A Guide to Purchasing, Developing, and Deploying Standards-Conformant E-Learning thoroughly covers this complex topic.The authors focus on those standards that are being successfully implemented such as the AICC and SCORM specifications for interoperable data tracking, searchable meta-data, and interchangeable course structures and the QTI specification for interoperable tests and test questions. They clearly explain the purpose of each standard and its application to the various components of e-learning such as learning management systems and learning content management systems, assessment systems, and courseware. The book provides practical advice on choosing and purchasing standards-based e-learning components and gives guidance on developing interoperable, interchangeable courseware that will work in any standards-based e-learning environment. Learning technology standards are still very new to the Web-based training world, leaving room for many potential pitfalls. There are distinct sets of standards available for Internet-delivered learning that enable all components of an e-learning system to communicate with each other. However, choosing which set of standards would best suit the system's needs, then understanding and following those specifications, can be a daunting task. E-Learning Standards: A Guide to Purchasing, Developing, and Deploying Standards-Conformant E-Learning provides a road map for anyone involved in the development of components for e-learning environments and a guide buyers can use to make well-informed decisions about their e-learning purchases.Trade Review"Your book came along at the perfect time! Being able to sort out what was involved in HACP and what wasn't in just a few short pages was worth the price of the book all by itself. Having so many Authorware examples was a serious bonus. So - thanks a million, I'm not waking up in a cold sweat in the middle of the night, parsing student data in my head anymore."- Susan D. Bunker-Alvarado, Courseware Developer, Melco Embroidery Systems, Educational Services DepartmentTable of ContentsA GUIDE FOR DECISION MAKERS. The Vital Role of Standards in E-Learning Environments. The Evolution of Standards for E-Learning. Which Standards? Matching Standards to E-Learning Components. Standards for Interoperable Data Tracking. Standards for Self-Describing Learning Objects. Standards for Importing and Exporting Entire CoursesStandards for Tests and Test Questions. A GUIDE FOR DESIGNERS AND DEVELOPERS. Working with Standards: How ro Author Standards-Based Content. Creating Interoperable Learning Objects. A Guide to Creating Meta-Data Files. A Guide to Creating Course Structure Manifests and Interchange Files. A Guide to Creating Standards-Based Test Items. Appendix A - Code Listings. Appendix B - Some Useful Resources. Glossary. Index.

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Book SynopsisAs high-tech service industries grow more competitive, the need to develop customer focused business strategies becomes imperative. Managing High-Tech Services Using a CRM Strategy explores how to manage and direct any service organization utilizing a high tech strategy supported by the Customer Relationship Management (CRM) infrastructure, enabling you to gain and retain a competitive edge for your company. This book highlights issues and problem-solving applications including:The correct business model for service and how it differs from a product oriented model The key factors, elements, and dynamics influencing the success and failure of service organizations Development, implementation, and rollout of a superior service operation on either a standalone basis or in support of a product or manufacturing business The integration of service delivery mechanisms and relevant data on a real-time basis Using CRM databases to measure customer satisfaction and quality Supporting CRM efforts with state-of-the-art wireless technologies Estimating the cost of CRM efforts and measuring the resultsThis volume provides a fresh and incisive look at how to successfully manage service businesses. The author shows you how to rethink the basic service business model and the key operational dynamics in order to optimize your service business, both strategically and tactically, generating significantly increased top line revenues and bottom line profitability. A core element of this overall customer strategy is CRM, which gives you the tools, systems, and infrastructure you need to get and stay ahead in today's hyper competitive business environment.Table of ContentsMANAGING SERVICE: A GENERAL OVERVIEW AND INTRODUCTION. Managing service as a line of business. Managing service in specific market segments. Key service management elements. CRM AND SMS TECHNOLOGY. Infrastructure and functions of CRM and SMS technology. Managing and optimizing service using CRM and SMS. State-of-the-art CRM and SMS technology. Using E-commerce to sell, manage, and deliver service. MARKETING AND SELLING SERVICE. Measuring and evaluating service quality. Developing service market strategy and portfolios. Marketing and selling service. Pricing service to maximize revenues and profits. SERVICE OPPORTUNITIES, POTENTIAL, AND THE FUTURE. New service market opportunities and the use of service to change market position. Overall issues in managing service. APPENDICES.

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Book SynopsisAll organizations, whether for profit, not for profit, or government, face issues of information technology management. While the concerns involved may differ from organization to organization, the principles of good information technology management remain the same.Using a compilation of articles on various topics relating to technology management, Handbook of Technology Management in Public Administration addresses the management, implementation, and integration of technology across a wide variety of disciplines. The book highlights lessons learned to assist you in solving contemporary problems and avoiding pitfalls. It discusses the creation of innovative paradigms, new boundaries, diversity frameworks, and operational breakthroughs emanating from technology. It also raises questions about the productivity, violence, and intrusions of technology into the personal, organizational, and social environments as we move forward. This book identifies the potential ethical, legal, and social implications of technology from electronic signatures to genetic screenings to privacy interventions to industrial applications. It raises issues, problems, and concerns arising from technology and its effects on nurturing or nullifying the foundations of life and liberty in a constitutional democracy. With the development of new tools and techniques, technology promises to make organizations more productive and efficient. Handbook of Technology Management in Public Administration identifies effective technology management approaches while balancing the repercussions of technological growth.Table of ContentsIntroduction. The Culture of Technology: Savants, Context, and Perspectives. Public Sector Perspectives on Technology. Technology Transfer: Innovations, Concerns and Barriers. Ethical Issues and Concerns. Managing Change and Measuring Performance. Technology's Contribution to Quality. National Security Issues. Negotiating Technology Issues. Technology and the Professions.

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Book SynopsisUse data analytics to drive innovation and value throughout your network infrastructure Network and IT professionals capture immense amounts of data from their networks. Buried in this data are multiple opportunities to solve and avoid problems, strengthen security, and improve network performance. To achieve these goals, IT networking experts need a solid understanding of data science, and data scientists need a firm grasp of modern networking concepts. Data Analytics for IT Networks fills these knowledge gaps, allowing both groups to drive unprecedented value from telemetry, event analytics, network infrastructure metadata, and other network data sources. Drawing on his pioneering experience applying data science to large-scale Cisco networks, John Garrett introduces the specific data science methodologies and algorithms network and IT professionals need, and helps data scientists understand contemporary network technologies, applications, and data sources. After establishing this shared understanding, Garrett shows how to uncover innovative use cases that integrate data science algorithms with network data. He concludes with several hands-on, Python-based case studies reflecting Cisco Customer Experience (CX) engineers’ supporting its largest customers. These are designed to serve as templates for developing custom solutions ranging from advanced troubleshooting to service assurance. Understand the data analytics landscape and its opportunities in Networking See how elements of an analytics solution come together in the practical use cases Explore and access network data sources, and choose the right data for your problem Innovate more successfully by understanding mental models and cognitive biases Walk through common analytics use cases from many industries, and adapt them to your environment Uncover new data science use cases for optimizing large networks Master proven algorithms, models, and methodologies for solving network problems Adapt use cases built with traditional statistical methods Use data science to improve network infrastructure analysisAnalyze control and data planes with greater sophistication Fully leverage your existing Cisco tools to collect, analyze, and visualize data Table of Contents Foreword xvii Introduction: Your future is in your hands! xviiiChapter 1 Getting Started with Analytics 1 What This Chapter Covers 1 Data: You as the SME 2 Use-Case Development with Bias and Mental Models 2 Data Science: Algorithms and Their Purposes 3 What This Book Does Not Cover 4 Building a Big Data Architecture 4 Microservices Architectures and Open Source Software 5 R Versus Python Versus SAS Versus Stata 6 Databases and Data Storage 6 Cisco Products in Detail 6 Analytics and Literary Perspectives 7 Analytics Maturity 7 Knowledge Management 8 Gartner Analytics 8 Strategic Thinking 9 Striving for “Up and to the Right” 9 Moving Your Perspective 10 Hot Topics in the Literature 11 Summary 12Chapter 2 Approaches for Analytics and Data Science 13 Model Building and Model Deployment 14 Analytics Methodology and Approach 15 Common Approach Walkthrough 16 Distinction Between the Use Case and the Solution 18 Logical Models for Data Science and Data 19 Analytics as an Overlay 20 Analytics Infrastructure Model 22 Summary 33Chapter 3 Understanding Networking Data Sources 35 Planes of Operation on IT Networks 36 Review of the Planes 40 Data and the Planes of Operation 42 Planes Data Examples 44 A Wider Rabbit Hole 49 A Deeper Rabbit Hole 51 Summary 53Chapter 4 Accessing Data from Network Components 55 Methods of Networking Data Access 55 Pull Data Availability 57 Push Data Availability 61 Control Plane Data 67 Data Plane Traffic Capture 68 Packet Data 70 Other Data Access Methods 74 Data Types and Measurement Considerations 76 Numbers and Text 77 Data Structure 82 Data Manipulation 84 Other Data Considerations 87 External Data for Context 89 Data Transport Methods 89 Transport Considerations for Network Data Sources 90 Summary 96Chapter 5 Mental Models and Cognitive Bias 97 Changing How You Think 98 Domain Expertise, Mental Models, and Intuition 99 Mental Models 99 Daniel Kahneman’s System 1 and System 2 102 Intuition 103 Opening Your Mind to Cognitive Bias 104 Changing Perspective, Using Bias for Good 105 Your Bias and Your Solutions 106 How You Think: Anchoring, Focalism, Narrative Fallacy, Framing, and Priming 107 How Others Think: Mirroring 110 What Just Happened? Availability, Recency, Correlation, Clustering, and Illusion of Truth 111 Enter the Boss: HIPPO and Authority Bias 113 What You Know: Confirmation, Expectation, Ambiguity, Context, and Frequency Illusion 114 What You Don’t Know: Base Rates, Small Numbers, Group Attribution, and Survivorship 117 Your Skills and Expertise: Curse of Knowledge, Group Bias, and Dunning-Kruger 119 We Don’t Need a New System: IKEA, Not Invented Here, Pro-Innovation, Endowment, Status Quo, Sunk Cost, Zero Price, and Empathy 121 I Knew It Would Happen: Hindsight, Halo Effect, and Outcome Bias 123 Summary 124Chapter 6 Innovative Thinking Techniques 127 Acting Like an Innovator and Mindfulness 128 Innovation Tips and Techniques 129 Developing Analytics for Your Company 140 Defocusing, Breaking Anchors, and Unpriming 140 Lean Thinking 142 Cognitive Trickery 143 Quick Innovation Wins 143 Summary 144Chapter 7 Analytics Use Cases and the Intuition Behind Them 147 Analytics Definitions 150 How to Use the Information from This Chapter 151 Priming and Framing Effects 151 Analytics Rube Goldberg Machines 151 Popular Analytics Use Cases 152 Machine Learning and Statistics Use Cases 153 Common IT Analytics Use Cases 170 Broadly Applicable Use Cases 199 Some Final Notes on Use Cases 214 Summary 214Chapter 8 Analytics Algorithms and the Intuition Behind Them 217 About the Algorithms 217 Algorithms and Assumptions 218 Additional Background 219 Data and Statistics 221 Statistics 221 Correlation 224 Longitudinal Data 225 ANOVA 227 Probability 228 Bayes’ Theorem 228 Feature Selection 230 Data-Encoding Methods 232 Dimensionality Reduction 233 Unsupervised Learning 234 Clustering 234 Association Rules 240 Sequential Pattern Mining 243 Collaborative Filtering 244 Supervised Learning 246 Regression Analysis 246 Classification Algorithms 248 Decision Trees 249 Random Forest 250 Gradient Boosting Methods 251 Neural Networks 252 Support Vector Machines 258 Time Series Analysis 259 Text and Document Analysis 262 Natural Language Processing (NLP) 262 Information Retrieval 263 Topic Modeling 265 Sentiment Analysis 266 Other Analytics Concepts 267 Artificial Intelligence 267 Confusion Matrix and Contingency Tables 267 Cumulative Gains and Lift 269 Simulation 271 Summary 271Chapter 9 Building Analytics Use Cases 273 Designing Your Analytics Solutions 274 Using the Analytics Infrastructure Model 275 About the Upcoming Use Cases 276 The Data 276 The Data Science 278 The Code 280 Operationalizing Solutions as Use Cases 281 Understanding and Designing Workflows 282 Tips for Setting Up an Environment to Do Your Own Analysis 282 Summary 284Chapter 10 Developing Real Use Cases: The Power of Statistics 285 Loading and Exploring Data 286 Base Rate Statistics for Platform Crashes 288 Base Rate Statistics for Software Crashes 299 ANOVA 305 Data Transformation 310 Tests for Normality 311 Examining Variance 313 Statistical Anomaly Detection 318 Summary 321Chapter 11 Developing Real Use Cases: Network Infrastructure Analytics 323 Human DNA and Fingerprinting 324 Building Search Capability 325 Loading Data and Setting Up the Environment 325 Encoding Data for Algorithmic Use 328 Search Challenges and Solutions 331 Other Uses of Encoded Data 336 Dimensionality Reduction 337 Data Visualization 340 K-Means Clustering 344 Machine Learning Guided Troubleshooting 350 Summary 353Chapter 12 Developing Real Use Cases: Control Plane Analytics Using Syslog Telemetry 355 Data for This Chapter 356 OSPF Routing Protocols 357 Non-Machine Learning Log Analysis Using pandas 357 Noise Reduction 360 Finding the Hotspots 362 Machine Learning—Based Log Evaluation 366 Data Visualization 367 Cleaning and Encoding Data 369 Clustering 373 More Data Visualization 375 Transaction Analysis 379 Task List 386 Summary 387Chapter 13 Developing Real Use Cases: Data Plane Analytics 389 The Data 390 SME Analysis 394 SME Port Clustering 407 Machine Learning: Creating Full Port Profiles 413 Machine Learning: Creating Source Port Profiles 419 Asset Discovery 422 Investigation Task List 423 Summary 424Chapter 14 Cisco Analytics 425 Architecture and Advisory Services for Analytics 426 Stealthwatch 427 Digital Network Architecture (DNA) 428 AppDynamics 428 Tetration 430 Crosswork Automation 431 IoT Analytics 432 Analytics Platforms and Partnerships 433 Cisco Open Source Platform 433 Summary 434Chapter 15 Book Summary 435 Analytics Introduction and Methodology 436 All About Networking Data 438 Using Bias and Innovation to Discover Solutions 439 Analytics Use Cases and Algorithms 439 Building Real Analytics Use Cases 440 Cisco Services and Solutions 442 In Closing 442Appendix A Function for Parsing Packets from pcap Files 4439781587145131, TOC, 9/19/18

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Book SynopsisThis volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today’s information challenges and shows how businesses can adapt big data for effective businesses practices.This volume shows how big data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.Table of ContentsPART I: BIG DATA: OPPORTUNITIES AND CHALLENGES 1. Big Data: An Overview 2. Big Data Between Pros and Cons 3. Big Data Uses and the Challenges They Face 4. Twitter’s Big Data Analysis Using RStudio 5. Big Data for Business Growth in Small and Medium Enterprises (SMEs) PART II: BIG DATA AND BUSINESSES’ DECISION-MAKING PROCESS? 6. The Role of Big Data in Strategic Decision-Making 7. Data Mining and Its Contribution to Decision-Making in Business Organizations 8. The Strategic Role of Big Data Analytics in the Decision-Making Process 9. The Role of the Information System in Making Strategic Decisions in the Economic Institution: Case Study of Baticic in Ain Defla, Algeria 10. The Role of Big Data Analysis and Strategic Vigilance in Decision-Making 11. Big Data Analysis and Its Role in Making Strategic Decisions PART III: BIG DATA APPLICATIONS: BUSINESS EXAMPLES 12. The Farthest Planning of Big Data in the Light of Information Technology: "Smart Cities: A World to Yet" 13. Blockchain Technology as a Method Based on Organizing Big Data to Build Smart Cities: The Dubai Experience 14. The Uses of Big Data in the Health Sector 15. The Role of Big Data in Avoiding the Banking Default in Algeria (The Possibility of Upgrading the Preventive Centers of the Bank of Algeria as a Source of Big Data) 16. Marketing Information System as a Marketing Crisis Management Mechanism through Big Data Analytics: A Case Study of Algeria Telecom in Bouira 17. Perspectives of Big Data Analytics’ Integration in the Business Strategy of Amazon, Inc. 18. The Hospital Information System: A Fundamental Lever for Performance in Hospitals PART IV: BIG DATA AND SUSTAINABLE DEVELOPMENT 19. Big Data Analysis and Sustainable Development 20. Big Data for Sustainable Development Goals: Theoretical Approach 21. Using Big Data in Official Statistics for Sustainable Development 22. The Initiatives of the UN to Improve the Quality of Big Data and Support the Sustainable Development Goals for 2030 23. Big Data and It Role in Achieving the Sustainable Development Goals: Experiences of Leading Organizations

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Book SynopsisThe Tactile Internet will change the landscape of communication by introducing a new paradigm that enables the remote delivery of haptic data.This book answers the many questions surrounding the Tactile Internet, including its reference architecture and adapted compression methods for conveying haptic information. It also describes the key enablers for deploying the applications of the Tactile Internet.As an antecedent technology, the IoT is tackled, explaining the differences and similarities between the Tactile Internet, the Internet of Things and the Internet of Everything. The essentials of teleoperation systems are summarized and the challenges that face this paradigm in its implementation and deployment are also discussed.Finally, a teleoperation case study demonstrating an application of the Tactile Internet is investigated to demonstrate its functionalities, architecture and performance.Table of ContentsForeword xi Ian F. Akyildiz Preface xiii Tara Ali-Yahiya and Wrya Monnet List of Acronyms xv Chapter 1 Introduction to Tactile Internet 1 Tara Ali-Yahiya 1. 1. Human perception and Tactile Internet 2 1. 2. The roadmap towards Tactile Internet 3 1. 3. What is Tactile Internet? 5 1. 4. Cyber-Physical Systems and TI 7 1. 4. 1. Physical world 7 1. 4. 2. Internet of Things 7 1. 4. 3. Communication 7 1. 4. 4. Storage and computation 8 1. 4. 5. Feedback 8 1. 4. 6. Smart computing 10 1. 5. References 11 Chapter 2 Reference Architecture of the Tactile Internet 13 Tara Ali-Yahiya 2. 1. Tactile Internet system architecture 13 2. 2. IEEE 1918. 1 use cases 15 2. 2. 1. Teleoperation 16 2. 2. 2. Automotive 17 2. 2. 3. Immersive virtual reality (IVR) 17 2. 2. 4. Internet of drones 18 2. 2. 5. Inter personal communication 18 2. 2. 6. Live haptic-enabled broadcast 19 2. 2. 7. Cooperative automated driving 19 2. 3. Conclusion 20 2. 4. References 20 Chapter 3 Tactile Internet Key Enablers 21 Tara Ali-Yahiya 3. 1. Introduction 21 3. 1. 1. The fifth-generation system architecture 21 3. 1. 2. Network slicing 23 3. 1. 3. Network function virtualization 25 3. 1. 4. Software-defined networking 26 3. 1. 5. Edge computing 27 3. 1. 6. Artificial intelligence 29 3. 2. Conclusion 31 3. 3. References 31 Chapter 4 6G for Tactile Internet 35 Pinar Kirci and Tara Ali-Yahiya 4. 1. Introduction 35 4. 2. Thearchitectureof6G 37 4. 2. 1. Networkperformanceof6G 38 4. 2. 2. Space network 39 4. 2. 3. Air network 40 4. 2. 4. Ground network 40 4. 2. 5. Underwater network 41 4. 3. 6G channel measurements and characteristics 41 4. 3. 1. Optical wireless channel 41 4. 3. 2. Unmanned aerial vehicle (UAV) channel 42 4. 3. 3. Underwater acoustic channel 43 4. 3. 4. Satellite channel 43 4. 3. 5. RFandterahertznetworksin6G 45 4. 3. 6. Visible light communication technology 48 4. 3. 7. Orbital angular momentum technology 48 4. 4. 6GcellularInternetofThings 49 4. 5. Energy self-sustainability (ESS) in 6G 50 4. 6. IoT-integrated ultra smart city life 52 4. 7. AI-enabled6Gnetworks 55 4. 8. AI- and ML-based security management in super IoT 59 4. 9. Securityfor6G 60 4. 10. The WEAFMnecosystem (water, earth, air, fire micro/nanoecosystem) with 6G and Tactile Internet 61 4. 11. References 63 Chapter 5 IoT, IoE and Tactile Internet 65 Wrya Monnet 5. 1. From M2MtoIoT 66 5. 2. Classification of remote monitoring and control systems 66 5. 3. IoT-enabling technologies 67 5. 3. 1. IoT hardware 67 5. 3. 2. IoT software 67 5. 3. 3. IoT connectivity 67 5. 4. Architectural design and interfaces 68 5. 5. IoT communication protocols 71 5. 5. 1. Message Queuing Telemetry Transport (MQTT) 72 5. 5. 2. Constrained Application Protocol (CoAP) 74 5. 5. 3. Data Distribution Service for real-time systems (DDS) 76 5. 5. 4. Open Mobile Alliance Device Management (OMA-DM) 79 5. 6. Internet of Everything (IoE) 80 5. 6. 1. Enabling technologies for the IoE 81 5. 7. Protocol comparisons and the readiness for TI 82 5. 8. TI-IoT models and challenges 83 5. 9. Edge computing in the IoT 85 5. 9. 1. Edge computing paradigms 86 5. 10. Real-time IoT and analytics versus real time in TI 88 5. 11. From IoT towardsTI 88 5. 12. Conclusion 90 5. 13. References 91 Chapter 6 Telerobotics 95 Wrya Monnet 6. 1. Introduction 95 6. 2. Teleoperation evolution to telepresence 96 6. 3. Tele presence applications 97 6. 4. Teleoperation system components 99 6. 4. 1. Master domains 102 6. 4. 2. Network domain (communication channel) 102 6. 4. 3. Slave domain 102 6. 5. Architecture of bilateral teleoperation control system 103 6. 5. 1. Classification of the control systems architectures 106 6. 5. 2. Discrete architecture with transmission delay 107 6. 6. Performance and transparency of telepresence systems 110 6. 6. 1. Passivity and stability 110 6. 6. 2. Time delay issues 112 6. 7. Other methods for time-delay mitigation 116 6. 8. Teleoperation over the Internet 117 6. 9. Multiple access to a teleoperation system 119 6. 10. A use case 121 6. 11. Conclusion 122 6. 12. References 122 Chapter 7 Haptic Data: Compression and Transmission Protocols 127 Wrya Monnet 7. 1. Introduction 127 7. 2. Haptic perception 128 7. 2. 1. Human haptic perception 128 7. 2. 2. Telerobotic tactile and haptic perception 128 7. 2. 3. Tactile sensing for material recognition 129 7. 2. 4. Tactile sensing for object shape recognition 130 7. 2. 5. Tactile sensing for pose estimation 131 7. 3. Haptic interfaces 133 7. 3. 1. Haptic interface for tele presence 133 7. 3. 2. Haptic and tactile sensors and actuators 135 7. 4. Haptic compression 139 7. 5. Haptic transport protocols 142 7. 5. 1. Application layer protocols 143 7. 5. 2. Transport layer protocols 146 7. 6. Multi-transport protocols 149 7. 7. Haptic transport protocol performance metrics 149 7. 8. Conclusion 150 7. 9. References 150 Chapter 8 Mapping Wireless Networked Robotics into Tactile Internet 155 Nicola Roberto Zema and Tara Ali-Yahiya 8. 1. Wireless networked robots 155 8. 2. WNR traffic requisites 158 8. 2. 1. Types of traffic in WNRs 158 8. 3. Traffic shaping and TI haptic codecs 160 8. 3. 1. Introduction 161 8. 3. 2. Mapping WNR control traffic to TI 161 8. 4. WNRs in the Tactile Internet architecture 164 8. 4. 1. WNRs in the TI architecture and interfaces 165 8. 5. Conclusion 169 8. 6. References 170 Chapter 9 HoIP over 5G for Tactile Internet Teleoperation Application 173 Tara Ali-Yahiya, Wryamonnet and Bakhtiar M. Amin 9. 1. Relatedworks 174 9. 2. 5G architecture design for Tactile Internet 179 9. 2. 1. Tactile edge A 180 9. 2. 2. Network domain 182 9. 2. 3. Protocol stack of 5G integration with IEEE 1918. 1 182 9. 3. HapticsoverIP 183 9. 4. Teleoperationcasestudy 185 9. 4. 1. Master to slave (uplink) data rate in edge A 187 9. 4. 2. Slave to master (downlink) data rate in edge B 187 9. 4. 3. Encapsulating the haptic data in HoIP 188 9. 4. 4. 5G network data and control handling 188 9. 4. 5. Case study operational states 190 9. 4. 6. Case study protocol stack 191 9. 5. Simulationresults 192 9. 5. 1. Simulation topology 193 9. 5. 2. NS3networkarchitecture 194 9. 5. 3. Simulation scenario 196 9. 5. 4. Simulation results 198 9. 6. Conclusion 203 9. 7. References 203 Chapter 10 Issues and Challenges Facing Low Latency in the Tactile Internet 209 Tara Ali-Yahiya 10. 1. Introduction 209 10. 1. 1. Technical requirements for the TI 211 10. 2. Low latency in the Tactile Internet 212 10. 2. 1. Resource allocation 212 10. 2. 2. Mobile edge computing 213 10. 2. 3. Network coding 214 10. 2. 4. Haptic communication protocols 214 10. 3. Intelligence and the Tactile Internet 216 10. 4. Edge intelligent 216 10. 5. Openissues 219 10. 6. Conclusion 220 10. 7. References 221 List of Authors 227 Index 229

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Book SynopsisAnalytics in Healthcare: An Introduction provides a clear, straightforward roadmap to achieving your goals within the domain of healthcare analytics. Whether you are a student looking for a career path or a staff member within a healthcare organization needing to apply the value that your institution’s data can provide, this manual will give you direction. Building on chapters that describe the evolution of healthcare analytics, others then address current and upcoming challenges including productive data mining from electronic health records, data governance, and the DELTA analytics maturity model. An appendix with learning modules for healthcare providers on secondary use of data as well as a comprehensive glossary are unique features of the book. The authors’ varied experiences and perspectives demonstrate the range of opportunities where healthcare analytics can be applied to make a difference in the current healthcare climate. As a quick and manageable read, this to-the-point resource serves as an invaluable tool to building your analytics program.

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Book SynopsisWithin a healthcare enterprise, patient vital signs and other automated measurements are communicated from connected medical devices to end-point systems, such as electronic health records, data warehouses and standalone clinical information systems. Connected Medical Devices: Integrating Patient Care Data in Healthcare Systems explores how medical device integration (MDI) supports quality patient care and better clinical outcomes by reducing clinical documentation transcription errors, improving data accuracy and density within clinical records and ensuring the complete capture of medical device information on patients. The book begins with a comprehensive overview of the types of medical devices in use today and the ways in which those devices interact, before examining factors such as interoperability standards, patient identification, clinical alerts and regulatory and security considerations. Offering lessons learned from his own experiences managing MDI rollouts in both operating room and intensive care unit settings, the author provides practical guidance for healthcare stakeholders charged with leading an MDI rollout. Topics include working with MDI solution providers, assembling an implementation team and transitioning to go-live. Special features in the book include a glossary of acronyms used throughout the book and sample medical device planning and testing tools.Table of ContentsIntroduction: Overview of Medical Device Interoperability (MDI) and the Current State of the MDI Industry, What is MDI and Why is it Needed Chapter 1: Medical Device Types and Classes Used and How They Communicate Chapter 2: MDI Solution Acquisition and Implementation Chapter 3: Semantic Data Alignment and Time Synchronization of Medical Devices Chapter 4: Standards Surrounding Medical Device Integration To Health Systems Chapter 5: Notifications, Alerts and Clinical Uses of Medical Device Data Chapter 6: Patient Identification and Medical Device Association Chapter 7: Regulatory and Security Considerations of MDI

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