- Table View
- List View
Distributed Systems and Applications of Information Filtering and Retrieval
by Cristian Lai Alessandro Giuliani Giovanni SemeraroThis volume focuses on new challenges in distributed Information Filtering and Retrieval. It collects invited chapters and extended research contributions from the special session on Information Filtering and Retrieval: Novel Distributed Systems and Applications (DART) of the 4th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2012), held in Barcelona, Spain, on 4-7 October 2012. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world applications. The chapters of this book present a comprehensive review of related works and state of the art. Authors, both practitioners and researchers, shared their results in several topics such as "Multi-Agent Systems", "Natural Language Processing", "Automatic Advertisement", "Customer Interaction Analytics", "Opinion Mining". Contributions have been careful reviewed by experts in the area, who also gave useful suggestions to improve the quality of the volume.
Distributed Systems with Node.js
by Thomas Hunter IIMany companies, from startups to Fortune 500 companies alike, use Node.js to build performant backend services. And engineers love Node.js for its approachable API and familiar syntax. Backed by the world's largest package repository, Node's enterprise foothold is only expected to grow.In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack.Learn why running redundant copies of the same Node.js service is necessaryKnow which protocol to choose, depending on the situationFine-tune your application containers for use in productionTrack down errors in a distributed setting to determine which service is at faultSimplify app code and increase performance by offloading work to a reverse proxyBuild dashboards to monitor service health and throughputFind out why so many different tools are required when operating in an enterprise environment
Distributed Tracing in Practice: Instrumenting, Analyzing, and Debugging Microservices
by Austin Parker Daniel Spoonhower Jonathan Mace Ben Sigelman Rebecca IsaacsMost applications today are distributed in some fashion. Monitoring the health and performance of these distributed architectures requires a new approach. Enter distributed tracing, a method of profiling and monitoring applications—especially those that use microservice architectures. There’s just one problem: distributed tracing can be hard. But it doesn’t have to be.With this practical guide, you’ll learn what distributed tracing is and how to use it to understand the performance and operation of your software. Key players at Lightstep walk you through instrumenting your code for tracing, collecting the data that your instrumentation produces, and turning it into useful, operational insights. If you want to start implementing distributed tracing, this book tells you what you need to know.You’ll learn:The pieces of a distributed tracing deployment: Instrumentation, data collection, and delivering valueBest practices for instrumentation (the methods for generating trace data from your service)How to deal with or avoid overhead, costs, and samplingHow to work with spans (the building blocks of request-based distributed traces) and choose span characteristics that lead to valuable tracesWhere distributed tracing is headed in the future
Distributed User Interfaces
by José A. Gallud Victor M.R. Penichet Ricardo TesorieroThe recent advances in display technologies and mobile devices is having an important effect on the way users interact with all kinds of devices (computers, mobile devices, laptops, tablets, and so on). These are opening up new possibilities for interaction, including the distribution of the UI (User Interface) amongst different devices, and implies that the UI can be split and composed, moved, copied or cloned among devices running the same or different operating systems. These new ways of manipulating the UI are considered under the emerging topic of Distributed User Interfaces (DUIs). DUIs are concerned with the repartition of one of many elements from one or many user interfaces in order to support one or many users to carry out one or many tasks on one or many domains in one or many contexts of use - each context of use consisting of users, platforms, and environments. The 20 chapters in the book cover between them the state-of-the-art, the foundations, and original applications of DUIs. Case studies are also included, and the book culminates with a review of interesting and novel applications that implement DUIs in different scenarios.
Distributed User Interfaces: Usability and Collaboration
by María D. Lozano José A. Gallud Ricardo Tesoriero Víctor M. R. PenichetWritten by international researchers in the field of Distributed User Interfaces (DUIs), this book brings together important contributions regarding collaboration and usability in Distributed User Interface settings. Throughout the thirteen chapters authors address key questions concerning how collaboration can be improved by using DUIs, including: in which situations a DUI is suitable to ease the collaboration among users; how usability standards can be used to evaluate the usability of systems based on DUIs; and accurately describe case studies and prototypes implementing these concerns. Under a collaborative scenario, users sharing common goals may take advantage of DUI environments to carry out their tasks more successfully because DUIs provide a shared environment where the users are allowed to manipulate information in the same space and at the same time. Under this hypothesis, collaborative DUI scenarios open new challenges to usability evaluation techniques and methods. Distributed User Interfaces: Collaboration and Usability presents an integrated view of different approaches related to Collaboration and Usability in Distributed User Interface settings, which demonstrate the state of the art, as well as future directions in this novel and rapidly evolving subject area.
Distributed Video Sensor Networks
by Bir Bhanu Demetri Terzopoulos Amit K. Roy-Chowdhury Hamid Aghajan Chinya V. RavishankarLarge-scale video networks are of increasing importance in a wide range of applications. However, the development of automated techniques for aggregating and interpreting information from multiple video streams in real-life scenarios is a challenging area of research. Collecting the work of leading researchers from a broad range of disciplines, this timely text/reference offers an in-depth survey of the state of the art in distributed camera networks. The book addresses a broad spectrum of critical issues in this highly interdisciplinary field: current challenges and future directions; video processing and video understanding; simulation, graphics, cognition and video networks; wireless video sensor networks, communications and control; embedded cameras and real-time video analysis; applications of distributed video networks; and educational opportunities and curriculum-development. Topics and features: presents an overview of research in areas of motion analysis, invariants, multiple cameras for detection, object tracking and recognition, and activities in video networks; provides real-world applications of distributed video networks, including force protection, wide area activities, port security, and recognition in night-time environments; describes the challenges in graphics and simulation, covering virtual vision, network security, human activities, cognitive architecture, and displays; examines issues of multimedia networks, registration, control of cameras (in simulations and real networks), localization and bounds on tracking; discusses system aspects of video networks, with chapters on providing testbed environments, data collection on activities, new integrated sensors for airborne sensors, face recognition, and building sentient spaces; investigates educational opportunities and curriculum development from the perspective of computer science and electrical engineering. This unique text will be of great interest to researchers and graduate students of computer vision and pattern recognition, computer graphics and simulation, image processing and embedded systems, and communications, networks and controls. The large number of example applications will also appeal to application engineers.
Distributional Reinforcement Learning
by Marc G. Bellemare Will Dabney Mark RowlandThe first comprehensive guide to distributional reinforcement learning, providing a new mathematical formalism for thinking about decisions from a probabilistic perspective.Distributional reinforcement learning is a new mathematical formalism for thinking about decisions. Going beyond the common approach to reinforcement learning and expected values, it focuses on the total reward or return obtained as a consequence of an agent's choices—specifically, how this return behaves from a probabilistic perspective. In this first comprehensive guide to distributional reinforcement learning, Marc G. Bellemare, Will Dabney, and Mark Rowland, who spearheaded development of the field, present its key concepts and review some of its many applications. They demonstrate its power to account for many complex, interesting phenomena that arise from interactions with one's environment.The authors present core ideas from classical reinforcement learning to contextualize distributional topics and include mathematical proofs pertaining to major results discussed in the text. They guide the reader through a series of algorithmic and mathematical developments that, in turn, characterize, compute, estimate, and make decisions on the basis of the random return. Practitioners in disciplines as diverse as finance (risk management), computational neuroscience, computational psychiatry, psychology, macroeconomics, and robotics are already using distributional reinforcement learning, paving the way for its expanding applications in mathematical finance, engineering, and the life sciences. More than a mathematical approach, distributional reinforcement learning represents a new perspective on how intelligent agents make predictions and decisions.
DITA - der topic-basierte XML-Standard: Ein schneller Einstieg (essentials)
by Sissi ClossPrägnant und praxisorientiert erfahren Sie hier, auf welchen zentralen Prinzipien DITA beruht. Die wichtigsten DITA-Features werden anhand einfacher Beispiele erklärt, die direkt auf die eigene Umgebung übertragbar sind. Damit ist dieses essential ein guter Einstieg für alle, die DITA noch nicht kennen, und ideal als erste Entscheidungshilfe, wenn es um die Optimierung einer Informationslandschaft geht.
DITA for Practitioners Volume 1
by Eliot KimberDITA expert Eliot Kimber takes you inside the DITA XML standard, explaining the architecture and technology that make DITA unique. Volume 1 of his two-volume exploration of DITA starts with a hands-on explanation of end-to-end DITA processing that will get you up and running fast. Then, he explores the DITA architecture, explaining maps and topics, structural patterns, metadata, linking and addressing, keys and key references, relationship tables, conditional processing, reuse, and more. DITA for Practitioners Volume 1: Architecture and Technology is for engineers, tool builders, and content strategists: anyone who designs, implements, or supports DITA-based systems and needs a deeper understanding of DITA technology. Kimber's unique perspective unwraps the puzzle that is DITA, explaining the rationale for its design and structure, and giving you an unvarnished, detailed look inside this important technology.
Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner
by Bradford TuckfieldDive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence. You'll even explore how ancient Egyptians and Russian peasants used algorithms to multiply numbers, how the ancient Greeks used them to find greatest common divisors, and how Japanese scholars in the age of samurai designed algorithms capable of generating magic squares.You'll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. You'll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and another for generating seemingly random sets of numbers.You'll also learn how to: • Use algorithms to debug code, maximize revenue, schedule tasks, and create decision trees • Measure the efficiency and speed of algorithms • Generate Voronoi diagrams for use in various geometric applications • Use algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles • Write code for gradient ascent and descent algorithms that can find the maxima and minima of functions • Use simulated annealing to perform global optimization • Build a decision tree to predict happiness based on a person's characteristicsOnce you've finished this book you'll understand how to code and implement important algorithms as well as how to measure and optimize their performance, all while learning the nitty-gritty details of today's most powerful algorithms.
Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges
by Bradford TuckfieldLearn how to use data science and Python to solve everyday business problems.Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.With only a basic understanding of Python and high school math, you&’ll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you&’ll discover how to find and use data-driven solutions to make business decisions.Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.You&’ll also learn how to:Forecast consumer demand Optimize marketing campaignsReduce customer attritionPredict website trafficBuild recommendation systemsWith this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don&’t wait; dive right in!
Dive Into Systems: A Gentle Introduction to Computer Systems
by Suzanne J. Matthews Tia Newhall Kevin C. WebbDive into Systems is a vivid introduction to computer organization, architecture, and operating systems that is already being used as a classroom textbook at more than 25 universities.This textbook is a crash course in the major hardware and software components of a modern computer system. Designed for use in a wide range of introductory-level computer science classes, it guides readers through the vertical slice of a computer so they can develop an understanding of the machine at various layers of abstraction. Early chapters begin with the basics of the C programming language often used in systems programming. Other topics explore the architecture of modern computers, the inner workings of operating systems, and the assembly languages that translate human-readable instructions into a binary representation that the computer understands. Later chapters explain how to optimize code for various architectures, how to implement parallel computing with shared memory, and how memory management works in multi-core CPUs. Accessible and easy to follow, the book uses images and hands-on exercise to break down complicated topics, including code examples that can be modified and executed.
Dive Into UDL: Immersive Practices to Develop Expert Learners
by Kendra Grant Luis Perez<p>Universal Design for Learning (UDL) is a framework for designing instruction that meets the needs of every learner. This book provides an overview of UDL, showing how to offer flexibility in methods of presentation, student participation and expression to support high achievement for all students, including those with disabilities or limited English proficiency. Dive into UDL shows K-12 educators how to incorporate UDL in their instructional design and engage in continuous professional growth. The book will also appeal to those in coaching positions and to administrators seeking to support their staff. <p>The book: offers three modes of entry to allow educators to "start where they are" in their understanding of UDL and how it applies to their areas of instruction; shows educators how to enhance and transform their instructional practices by applying a UDL lens to analyze and redesign lessons; illustrates how to design accessible materials and use technology to provide more options for learners; and highlights how UDL is foundational to inquiry-based, project-based and constructivist hands-on learning.</p>
Diventa esperto di Bitcoin
by Adidas Wilson Andrea GiampaoliIl Bitcoin è una criptovaluta ed un sistema di pagamento digitale ideato da uno sviluppatore sconosciuto, o da un gruppo di sviluppatori sotto il nome di Satoshi Nakamoto. Venne pubblicato come software open-source nel 2009. Il sistema è peer-to-peer e le transazioni vengono effettuate direttamente tra gli utenti, senza un intermediario. Queste transazioni vengono in seguito verificate dai nodi del network e registrate in un libro contabile pubblico chiamato blockchain. Poiché il sistema funziona senza un database centrale o un amministratore, il Bitcoin viene definito come la prima valuta digitale decentralizzata. Oltre ad essere creato come premio per il mining, il Bitcoin può essere scambiato con altre valute, prodotti e servizi nei mercati legali o nei mercati di contrabbando. Nel Febbraio 2015 oltre 100.000 commercianti e venditori accettavano pagamenti in Bitcoin. Secondo una ricerca dell'Università di Cambridge pubblicata nel 2017, ci sono da 2.9 a 5.8 milioni di utenti che usano un portafoglio di criptovalute, e la maggior parte di essi usano i Bitcoin.
Diventa Un Esperto di Apple HomePod: La Guida Ufficiale HomePod IOS 12
by Adidas WilsonIl nuovo dispositivo HomePod offre un servizio semplice e sorprendente per gli utenti Apple di godersi AirPlay, Apple Music e controllare i dispositivi HomeKit da qualsiasi luogo. HomePod non è stato creato per essere un concorrente di Google Home o Amazon Echo, così come il MacBook Air non era progettato per competere con il netbook. Certo, entrambi condividono un certo numero di caratteristiche . Ad esempio, l'altoparlante HomePod può essere controllato vocalmente e il MacBook Air è compatto e leggero. Tuttavia, HomePod è un assistente domestico da 350 dollari ; molto simile al MacBook, un computer portatile da 200 dollari. Il Fire Phone di Amazon non è stato un successo. Alexa, quindi, ha dovuto vendere molto in modo che Prime potesse restare nella vita di molti utenti. Questo risultò un successo grazie ai prezzi contenuti di Echo. Quando si tratta di HomePod, però, la questione cambia. AirPod è stato progettato per aiutarti a godere la tua musica preferita mentre sei in viaggio, mentre HomePod è stato progettato per ascoltare la tua musica preferita comodamente a casa tua.
Diversifying Digital Learning: Online Literacy and Educational Opportunity (Tech.edu: A Hopkins Series on Education and Technology)
by Edited by William G. Tierney, Zoë B. Corwin, and Amanda OchsnerHow does the digital divide affect the teaching and learning of historically underrepresented students?Many schools and programs in low-income neighborhoods lack access to the technological resources, including equipment and Internet service, that those in middle- and upper-income neighborhoods have at their fingertips. This inequity creates a persistent digital divide—not a simple divide in access to technology per se, but a divide in both formal and informal digital literacy that further marginalizes youths from low-income, minoritized, and first-generation communities.Diversifying Digital Learning outlines the pervasive problems that exist with ensuring digital equity and identifies successful strategies to tackle the issue. Bringing together top scholars to discuss how digital equity in education might become a key goal in American education, this book is structured to provide a framework for understanding how historically underrepresented students most effectively engage with technology—and how institutions may help or hinder students’ ability to develop and capitalize on digital literacies.This book will appeal to readers who are well versed in the diverse uses of social media and technologies, as well as less technologically savvy educators and policy analysts in educational organizations such as schools, afterschool programs, colleges, and universities. Addressing the intersection of digital media, race/ethnicity, and socioeconomic class in a frank manner, the lessons within this compelling work will help educators enable students in grades K–12, as well as in postsecondary institutions, to participate in a rapidly changing world framed by shifting new media technologies.Contributors: Young Whan Choi, Zoë B. Corwin, Christina Evans, Julie Flapan, Joanna Goode, Erica Hodgin, Joseph Kahne, Suneal Kolluri, Lynette Kvasny, David J. Leonard, Jane Margolis, Crystle Martin, Safiya Umoja Noble, Amanda Ochsner, Fay Cobb Payton, Antar A. Tichavakunda, William G. Tierney, S. Craig Watkins
Diversifying Learner Experience: A kaleidoscope of instructional approaches and strategies
by Caroline KohThis book brings together strategies and innovations that educators from diverse educational contexts have conceptualized and implemented to cater to differences in academic ability, as well as in other domains such as psychosocial contexts and developmental needs. The emergence of IT and new technologies have altered the educational landscape and opened a multitude of opportunities for diverse modes of instruction catering to diverse student populations.The book addresses the gap in the literature with evidence-based reports of innovative strategies and approaches that are grounded in educational research. It identifies student differences in terms of academic ability and also, with regard to their cultural and social background, their developmental and psycho-emotional needs. It examines how new technologies are used in instructional approaches and how these innovative strategies diversify learner experiences. The book is a valuable resource to practitioners, researchers and educational administrators.
Diversity, Divergence, Dialogue: 16th International Conference, iConference 2021, Beijing, China, March 17–31, 2021, Proceedings, Part II (Lecture Notes in Computer Science #12646)
by Katharina Toeppe Hui Yan Samuel Kai Wah ChuThis two-volume set LNCS 12645-12646 constitutes the refereed proceedings of the 16th International Conference on Diversity, Divergence, Dialogue, iConference 2021, held in Beijing, China, in March 2021. The 32 full papers and the 59 short papers presented in this two-volume set were carefully reviewed and selected from 225 submissions. They cover topics such as: AI and machine learning; data science; human-computer interaction; social media; digital humanities; education and information literacy; information behavior; information governance and ethics; archives and records; research methods; and institutional management.
Diversity, Divergence, Dialogue: 16th International Conference, iConference 2021, Beijing, China, March 17–31, 2021, Proceedings, Part I (Lecture Notes in Computer Science #12645)
by Katharina Toeppe Hui Yan Samuel Kai Wah ChuThis two-volume set LNCS 12645-12646 constitutes the refereed proceedings of the 16th International Conference on Diversity, Divergence, Dialogue, iConference 2021, held in Beijing, China, in March 2021. The 32 full papers and the 59 short papers presented in this volume were carefully reviewed and selected from 225 submissions. They cover topics such as: AI and machine learning; data science; human-computer interaction; social media; digital humanities; education and information literacy; information behavior; information governance and ethics; archives and records; research methods; and institutional management.
Diversity in Computer Science: Design Artefacts for Equity and Inclusion
by Pernille Bjørn Maria Menendez-Blanco Valeria BorsottiThis is an open access book that covers the complete set of experiences and results of the FemTech.dk research which we have had conducted between 2016-2021 – from initiate idea to societal communication. Diversity in Computer Science: Design Artefacts for Equity and Inclusion presents and documents the principles, results, and learnings behind the research initiative FemTech.dk, which was created in 2016 and continues today as an important part of the Department of Computer Science at the University of Copenhagen’s strategic development for years to come. FemTech.dk was created in 2016 to engage with research within gender and diversity and to explore the role of gender equity as part of digital technology design and development. FemTech.dk considers how and why computer science as a field and profession in Denmark has such a distinct unbalanced gender representation in the 21st century. This book is also the story of how we (the authors) as computer science researchers embarked on a journey to engage with a new research field – equity and gender in computing – about which we had only sporadic knowledge when we began. We refer here to equity and gender in computing as a research field – but in reality, this research field is a multiplicity of entangled paths, concepts, and directions that forms important and critical insights about society, gender, politics, and infrastructures which are published in different venues and often have very different sets of criteria, values, and assumptions. Thus, part of our journey is also to learn and engage with all these different streams of research, concepts, and theoretical approaches and, through these engagements, to identify and develop our own theoretical platform, which has a foundation in our research backgrounds in Human–Computer Interaction broadly – and Interaction Design & Computer Supported Cooperative Work specifically.
Diversity of Functional Traits and Interactions: Perspectives on Community Dynamics (Theoretical Biology)
by Akihiko MougiThis book presents new theoretical perspectives on ecological community dynamics and in so doing casts fresh light on the enduring complexity–stability debate. Real ecological communities do not simply comprise diverse species and interactions, which respectively represented the nodes and links of the classic network theory. Rather, they are characterized by different types of complexity, and this book explains how this diversity of complexity is key to understanding the dynamics of ecological communities. It is shown how various properties in natural communities, such as life history, adaptation, density dependence, sex, interaction types, space, functional traits, and microbial processes, can dramatically increase the complexity in ecological communities. Furthermore, innovative methods are introduced that may be applied to cast light on very complex communities. With each chapter presenting the latest advances and approaches, the book sets the direction for future research on ecological community dynamics. It will be a “must read” for researchers and students in the field of ecology.
Diversity Regimes: Why Talk Is Not Enough to Fix Racial Inequality at Universities (The American Campus)
by James M. ThomasAs a major, public flagship university in the American South, so-called “Diversity University” has struggled to define its commitments to diversity and inclusion, and to put those commitments into practice. In Diversity Regimes, sociologist James M. Thomas draws on more than two years of ethnographic fieldwork at DU to illustrate the conflicts and contingencies between a core set of actors at DU over what diversity is and how it should be accomplished. Thomas’s analysis of this dynamic process uncovers what he calls “diversity regimes”: a complex combination of meanings, practices, and actions that work to institutionalize commitments to diversity, but in doing so obscure, entrench, and even magnify existing racial inequalities. Thomas’s concept of diversity regimes, and his focus on how they are organized and unfold in real time, provides new insights into the social organization of multicultural principles and practices.
A Divided Union: Structural Challenges to Bipartisanship in America
by Dario Moreno, Eduardo Gamarra, Rep. Patrick E. Murphy, and Rep. David JollyA Divided Union delves deep into ten pressing political challenges that former US Representatives Patrick Murphy (D) and David Jolly (R) have identified over their multiple terms in Congress and that continue to plague the American electorate today. In an introduction describing their unique paths to Congress, Murphy and Jolly focus in detail on key institutional barriers they faced in Washington in attempting to do the job voters elected them to do. They introduce us to geographic challenges, demographic change, a polarized media, gerrymandering, the role of money in politics, the structure of primary elections, and several other aspects of political life on Capitol Hill. The core of the book is original analysis by experts who tackle these topics in a manner relevant to both the seasoned political science student as well as the general reader. From the commercials we see on TV to the city council districts in which we live, these concerns shape every facet of our public lives and are distilled here in a careful synthesis of years of experience and research. Contributors include former federal elected officials, political science professors, members of the press, and scholars immersed in their fields of study. While other textbooks may examine similar issues, few have been edited by former members of the U.S. House who have walked the halls of Congress and directly experienced political dysfunction at so many levels – and are willing to address it. A Divided Union is appropriate for all political science students as well as the general public frustrated and alarmed by political gridlock.
Diving into Secure Access Service Edge: A technical leadership guide to achieving success with SASE at market speed
by Jeremiah Ginn David H. BrownImplement Secure Access Service Edge (SASE) for secure network and application communications, exploring SASE services including SD-WAN, ZTF, and more with expert Jeremiah Ginn who helps CxO leaders achieve SASE successKey FeaturesMerge networking and security services into a single architecture to simplify network infrastructureExplore how zero trust network access (ZTNA) restricts access to provide native application segmentationFocus on a native, multitenant cloud architecture that scales dynamically with demandBook DescriptionThe SASE concept was coined by Gartner after seeing a pattern emerge in cloud and SD-WAN projects where full security integration was needed. The market behavior lately has sparked something like a "space race" for all technology manufacturers and cloud service providers to offer a "SASE" solution. The current training available in the market is minimal and manufacturer-oriented, with new services being released every few weeks. Professional architects and engineers trying to implement SASE need to take a manufacturer-neutral approach.This guide provides a foundation for understanding SASE, but it also has a lasting impact because it not only addresses the problems that existed at the time of publication, but also provides a continual learning approach to successfully lead in a market that evolves every few weeks. Technology teams need a tool that provides a model to keep up with new information as it becomes available and stay ahead of market hype.With this book, you'll learn about crucial models for SASE success in designing, building, deploying, and supporting operations to ensure the most positive user experience (UX). In addition to SASE, you'll gain insight into SD-WAN design, DevOps, zero trust, and next-generation technical education methods.What you will learnDevelop a comprehensive understanding of SASE from a market and technical perspectiveUnderstand SASE services and components included in SASE solutionsMove logically from prescriptive design to policy-based design and orchestrationUnderstand standard SASE use cases and how to integrate future componentsConvert from a legacy network design model to a secure DevOps model for future projectsUse a functional design overlay to eliminate inter-service competition for the control plane of the SASE serviceWho this book is forThis book is for technology and security leaders and specifically for any CTO, CSO, CISO, or CIO looking for an executive approach to SASE for their organization. Anyone implementing SD-WAN, SASE, and SASE services for cloud, network, and security infrastructure will also find this book helpful.
Diving Into the Bitstream: Information Technology Meets Society in a Digital World
by Barry M. DumasNationwide, and indeed worldwide, there has been a growing awareness of the importance of access to information. Accordingly, information technology (IT), broadly defined and its role beyond the internal workings of businesses has leapt into the social consciousness. Diving into the Bitstream distinguishes itself by weaving together the concepts and conditions of IT. What distinguishes these trends is their focus on the impacts of IT on societies, and the responsibilities of IT's creators and users. The author pulls together important, often complex issues in the relationships among information, information technologies, and societal constructs. The text explores a synopsis of these issues that are foundations for further consideration.