Information architecture Books

Book SynopsisBusinesses own more data than ever before, but it's of no value if you don't know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production. But doing it well is far from easy: Less than one fourth of business leaders say their organizations are data driven. In Designing Data Governance from the Ground Up, you'll build a cross-functional strategy to create roadmaps and stewardship for data-focused projects, embed data governance into your engineering practice, and put processes in place to monitor data after deployment. In the last decade, the amount of data people produced grew 3,000 percent. Most organizations lack the strategy to clean, collect, organize, and automate data for production-ready projects. Without effective data governance, most businesses will keep failing to gain value from the mountain of data that's available to them. There's a plethora of content intended to help DataOps and DevOps teams reach production, but 90 percent of projects trained with big data fail to reach production because they lack governance. This book shares six steps you can take to build a data governance strategy from scratch. You'll find a data framework, pull together a team of data stewards, build a data governance team, define your roadmap, weave data governance into your development process, and monitor your data in production Whether you're a chief data officer or individual contributor, this book will show you how to manage up, get the buy-in you need to build data governance, find the right colleagues to co-create data governance, and keep them engaged for the long haul.

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Book SynopsisThis book adopts a holistic interpretation of information architecture, to offer libraries and information professionals a variety of methods, tools, and techniques that may be used when designing websites and information systems that support workflows and what people require when “managing information”. The editors argue that information architecture for libraries has largely been the study of content architecture and that, on the other hand, library assessment literature has dealt with performance measurement and change management strategies. There is a gap in the middle for information services, with little on the ways of looking at the process architecture of a library and information service and on methods for business process analysis. Information Systems: Process and practice aims to fill that gap with a combination of theory and supporting case studies written by an international line-up of contributors, including Sally Burford, Fernando Loizides, Catherine Burns and Adam Euerby. Case studies cover a wide variety of settings, from discrete resource discovery projects for academic and cultural institutions, through design for large organizational websites, the research evidence about user experience for semi-structured document design on websites, to the health sector with examples including patient support websites and clinical document management. This book: takes a holistic view and interpretation of Information architecture in the context of libraries across the sector, globally discusses research and methods that help libraries and information services work from strategic business objectives through the organisation of processes that support the information services offered, and information management functions supported opens a new area of research/investigation on the link between information behaviour research and information systems and architecture, supported by case studies and projects includes contributions from an international range of experts from diverse backgrounds uses introductory sections and chapter commentary from the editors to draw the discussions together. This will be essential reading for researchers in information science specifically in the areas of digital libraries, information architecture and information systems. It will also be useful for practitioners and students in these areas who want to know the different research issues and challenges and learn how they have been handled in course of various research projects in these areas.Trade Review'This book is not a simple ‘how to’ guide but really a set of pointers to launch the reader towards deeper research. The large number of references included with each chapter help to facilitate this, as even though research will inevitably move on, the citations will give good starting points into the literature for some years to come. Recommended for libraries that support LIS research and independent LIS researchers that wish to broaden the scope and application of their work.' -- Jon Knight * Journal of Librarianship and Information Science *Table of ContentsSeries editor’s foreword – Gobinda Chowdhury 1. Introduction – Christine Urquhart 2. Approaches to information architecture – Faten Hamad 3. ​Taxonomy testing for information architecture – Christine Urquhart 4. The enterprise website and its information structures – Sally Burford 5. Analysing activities, roles and processes – Christine Urquhart and Dina Tbaishat 6. Libraries and organization of library processes – history of operational research, and use of process modelling – Dina Tbaishat 7. Using RIVA process modelling to study book acquisition in academic libraries – Dina Tbaishat 8. Workflow analysis and process mapping in US academic libraries – Christine Urquhart 9. A Theoretical framework for designing and evaluating semi-structured document triage interfaces – Fernando Loizides and Aekaterini Mavri 10. Resource discovery case studies – Karen Colbron and Christine Urquhart 11. Increasing social connection through a Community of Practice inspired design – Catherine M. Burns and Adam Euerby 12. Methods for studying information provision, networking and communication in patient support groups – Cristina Vasilica and Paula Ormandy 13. Health information systems: clinical data capture and document architecture – Faten Hamad 14. Producing systematic reviews and getting evidence to the clinician – Faten Hamad

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Book SynopsisEnhance your data analysis and predictive modeling skills using popular Python toolsKey Features Cover all fundamental libraries for operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Access modern data analysis techniques and detailed code with scikit-learn and SciPy Book DescriptionPython is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations.Become a Python Data Analyst introduces Python’s most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations.In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques.By the end of this book, you will have hands-on experience performing data analysis with Python.What you will learn Explore important Python libraries and learn to install Anaconda distribution Understand the basics of NumPy Produce informative and useful visualizations for analyzing data Perform common statistical calculations Build predictive models and understand the principles of predictive analytics Who this book is forBecome a Python Data Analyst is for entry-level data analysts, data engineers, and BI professionals who want to make complete use of Python tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this bookTable of ContentsTable of Contents The Anaconda Distribution and Jupyter Notebook Vectorizing Operations with Numpy Pandas: Everyone’s Favorite Data Analysis Library Visualization and Exploratory Data Analysis Statistical Computing with Python Introduction to Predictive Analytics Models

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Book SynopsisWith the continual development of professional industries in today's modernized world, certain technologies have become increasingly applicable. Cyber-physical systems, specifically, are a mechanism that has seen rapid implementation across numerous fields. This is a technology that is constantly evolving, so specialists need a handbook of research that keeps pace with the advancements and methodologies of these devices.Tools and Technologies for the Development of Cyber-Physical Systems is an essential reference source that discusses recent advancements of cyber-physical systems and its application within the health, information, and computer science industries. Featuring research on topics such as autonomous agents, power supply methods, and software assessment, this book is ideally designed for data scientists, technology developers, medical practitioners, computer engineers, researchers, academicians, and students seeking coverage on the development and various applications of cyber-physical systems.

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Book SynopsisTake your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate data Key Features Transform data into a clean and trusted source of information for your organization using Scala Build streaming and batch-processing pipelines with step-by-step explanations Implement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD) Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You’ll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You’ll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.What you will learn Set up your development environment to build pipelines in Scala Get to grips with polymorphic functions, type parameterization, and Scala implicits Use Spark DataFrames, Datasets, and Spark SQL with Scala Read and write data to object stores Profile and clean your data using Deequ Performance tune your data pipelines using Scala Who this book is forThis book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies.Table of ContentsTable of Contents Scala Essentials for Data Engineers Environment Setup An Introduction to Apache Spark and Its APIs – DataFrame, Dataset, and Spark SQL Working with Databases Object Stores and Data Lakes Understanding Data Transformation Data Profiling and Data Quality Test-Driven Development, Code Health, and Maintainability CI/CD with GitHub Data Pipeline Orchestration Performance Tuning Building Batch Pipelines Using Spark and Scala Building Streaming Pipelines Using Spark and Scala

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Book SynopsisThis open access book constitutes the proceedings of the 23rd International Conference on Agile Software Development, XP 2022, which was held in Copenhagen, Denmark, in June 2022. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends.  XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. This year’s conference was held with the theme “Agile in the Era of Hybrid Work”. The 13 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: agile practices; agile processes; and agile in the large.Table of ContentsAgile Practices.- From Collaboration to Solitude and Back: Experiences with Remote Pair Programming during COVID-19.- UX Work in Software Start-ups: Challenges from the Current State of Practice.- How to Write Ethical User Stories? Impacts of the ECCOLA Method.- Process Assessment.- Setting the Scope for a New Agile Assessment Model: Results of an Empirical Study.- Towards a Standardized Questionnaire for Measuring Agility at Team Level.- The Impact of Agile Transformations on Organizational Performance: A Survey of Teams, Programs and Portfolios.- Measuring Software Delivery Performance using the Four Key Metrics of DevOps.- Large-scale Agile.- Evolution of the Agile Scaling Frameworks.- Coordination Strategies: Managing Inter-team Coordination Challenges in Large-scale Agile.- Challenges of Adopting SAFe in the Banking Industry - A Study Two Years after its Introduction.- Benefits and Challenges of Adopting SAFe - An Empirical Survey.-Short Contributions.- Using a Low Code Development Environment to Teach the Agile Methodology.- Comparing Participants’ Brainwaves during Solo, Pair, and Mob Programming.

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Book SynopsisAvec une préface de Jean-Pierre LuminetComment penser un atome ? Qu'est devenue la pomme de Newton ? Sous quelles formes représenter l'Univers ? Quelle imagerie est la préférée des scientifiques afin de décrire notre monde ?Comment créer et utiliser les métaphores ? Le changement de paradigme opéré par la physique au 20e siècle exige de transformer notre système de représentations et de repenser notre cadre référentiel. De la simple comparaison didactique à la métaphore heuristique, cet ouvrage recense les images vedettes à l'œuvre dans la diffusion des connaissances et expose les huit bénéfices principaux inhérents à cette imagerie scientifique. L'importance de faire un usage maîtrisé de ces réflexions dépasse largement un transfert d'informations. C'est la raison pour laquelle un guide à l'usage des scientifiques est proposé. Sous la forme de questions-réponses, ce guide pratique avertit des pièges à éviter tout en indiquant les emplois métaphoriques les plus pertinents pour comprendre et se faire comprendre.

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Book SynopsisDie Abbildung von Beratungsleistungen im Internet, der Vorstoß von Consultingunternehmen in das elektronische Zeitalter ist Gegenstand dieser Untersuchung. Dazu wird in einer Machbarkeitsanalyse der klassische Beratungsprozeß auf eine internetbasierte Abwicklung hin analysiert sowie Funktionen und Inhalte in einem theoretischen Prozeßmodell dargestellt. Neben dem Geschäftsmodell, dem Organisationsmodell und dem Service Portfolio wird auch die Übertragung der Erfolgsfaktoren aus dem klassischen Unternehmensmodell entwickelt. Eine Beschreibung des Implementierungsprozesses und der Konzepte zur Sicherung der Flexibilität stellt den Erfolg einer Einführung sicher.

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Book SynopsisDieses Lehrbuch mit detailliert ausgearbeiteten Erklärungen und auf die Zielsetzungen fein abgestimmtem Training bietet einen einfachen Einstieg in die Theorie der formalen Sprachen. Es eignet sich gut für den Unterricht und das Selbststudium. Neben Gymnasiasten und Studienanfängern an Hochschulen richtet es sich auch an Lehramtsstudierende, insbesondere wenn sie sich mit der praktischen Umsetzung der Fachdidaktik für die Unterrichtsvorbereitung beschäftigen.Inhaltlich liegt der Fokus auf endlichen Automaten zur Systemsteuerung und zur Mustererkennung in Texten sowie auf Grammatiken zur Beschreibung von Programmiersprachen. Weiter werden erste Schritte im Compilerbau (lexikalische und syntaktische Analyse) unternommen.Die Leserinnen und Leser werden zur Bearbeitung von Projekten zur Darstellung und Analyse einfacher Programmiersprachen eingeladen.Table of ContentsAlphabete, Wörter und Sprachen - Das Modell der endlichen Automaten - Entwurf von endlichen Automaten - Projekt "Steuerungsautomaten" - Induktionsbeweise der Korrektheit - Simulation und modularer Entwurf endlicher Automaten - Größe endlicher Automaten und Nichtexistenzbeweise - Automaten mit Ausgabe und lexikalische Analyse - Kontextfreie Grammatiken - Syntaxanalyse von Programmen

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Book SynopsisThis book focuses on software architecture and the value of architecture in the development of long-lived, mission-critical, trustworthy software-systems. The author introduces and demonstrates the powerful strategy of “Managed Evolution,” along with the engineering best practice known as “Principle-based Architecting.” The book examines in detail architecture principles for e.g., Business Value, Changeability, Resilience, and Dependability. The author argues that the software development community has a strong responsibility to produce and operate useful, dependable, and trustworthy software. Software should at the same time provide business value and guarantee many quality-of-service properties, including security, safety, performance, and integrity. As Dr. Furrer states, “Producing dependable software is a balancing act between investing in the implementation of business functionality and investing in the quality-of-service properties of the software-systems.” The book presents extensive coverage of such concepts as: Principle-Based Architecting Managed Evolution Strategy The Future Principles for Business Value Legacy Software Modernization/Migration Architecture Principles for Changeability Architecture Principles for Resilience Architecture Principles for Dependability The text is supplemented with numerous figures, tables, examples and illustrative quotations. Future-Proof Software-Systems provides a set of good engineering practices, devised for integration into most software development processes dedicated to the creation of software-systems that incorporate Managed Evolution.Table of ContentsSofware Everywhere - Force of Entropy - Three Devils of Systems Engineering - Future-Proof Software-Systems - Evolution Strategies - Architecture - Principle-Based Architecting - Context for Managed Evolution - The Future - Special Topics - Principles for Business Value - Architecture Principles for Changeability - Architecture Principles for Resilience - Architecture Principles for Dependability

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Book SynopsisThis book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations. The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types: SQL and NoSQL databases, and their respective management systems The nature and uses of Big Data A high-level view of the organization of data management Data Modeling and Consistency Chapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more. A full chapter probes the challenges of Ensuring Data Consistency, covering: Multi-User Operation Troubleshooting Consistency in Massive Distributed Data Comparison of the ACID and BASE consistency models, and more System Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics. Post-Relational and NoSQL Databases The chapter on post-relational databases discusses the limits of SQL – and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases. A final chapter covers NoSQL Databases, along with Development of Non-Relational Technologies, Key-Value, Column-Family and Document Stores XML Databases and Graphic Databases, and more The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. SQL & NoSQL Databases conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.Table of ContentsData Management - Data Modeling - Database Languages - Ensuring Data Consistency - System Architecture - Post-Relational Databases - NoSQL Databases

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Book SynopsisAndreas Gadatsch schließt mit dem vorliegenden essential eine Lücke in einführenden Werken zur Datenmodellierung. Diese Modelle gehören zum Basiswissen in Einführungsveranstaltungen zur Wirtschaftsinformatik für Betriebswirte. Die Literatur dazu ist für diese Zielgruppe häufig zu speziell, da sie sich eher an Informatiker richtet. Der Autor bietet hier nun einen kompakten Einstieg in die klassische CHEN-Notation anhand eines durchgängigen Fallbeispiels, auf der viele neue Modellierungsansätze aufbauen. Die zweite Auflage enthält einige formale Korrekturen und Ergänzungen (z. B. Rekursive Relationen).Der Autor:Dr. Andreas Gadatsch ist Professor für Betriebswirtschaftslehre, insbesondere Wirtschaftsinformatik im Fachbereich Wirtschaftswissenschaften der Hochschule Bonn-Rhein-Sieg in Sankt Augustin.Table of ContentsDie Datenmodellierung – vom Konzept zur Datenbank.- Erstellung von Fachkonzepten mit dem Entity-Relationship-Modell.- Erstellung von IT-Konzepten mit dem relationalen Datenmodell.- Implementierung von Datenmodellen in Datenbanksystemen.

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Book SynopsisLernen Sie in diesem Fachbuch mehr über die Grundlagen von BlockchainSie interessieren sich für Kryptowährungen durch Blockchain-Technologie? Aber irgendwie erscheint Ihnen die Thematik wie ein Buch mit sieben Siegeln? Dieses Fachbuch von Hans-Georg Fill und Andreas Meier liefert Ihnen einen Überblick rund um Blockchain. Es erläutert detailliert und übersichtlich die Grundlagen zu folgenden Themenfeldern: Datenstrukturen wie Hash-Funktionen und -Bäume Digitale Signatur Funktionen Konsensalgorithmen etc. Blockchains sind jedoch nicht nur ein Teil von Kryptowährungen. Es handelt sich um ein digitales Buchungssystem. Die Technologie von Ethereum ist daher für viele Unternehmen äußerst interessant (Stichwort Smart Contracts, Smart Grid, Smart Cities). Das Fachbuch über Blockchain ist somit genau das Richtige für Sie, wenn Sie Verbesserungen im eigenen Unternehmen, der Verwaltung oder im öffentlichen Leben vornehmen oder alternative Lösungen angehen wollen.Konzepte und Anwendungen der KryptographieIn den sechs Kapiteln des Fachbuches über Blockchain liefern Ihnen die Autoren Antworten auf verschiedene rechtliche Fragen. Sie befassen sich im Rahmen ihrer Ausführungen kritisch mit der Blockchain-Technologie und zeigen Ihnen wichtige Anwendungsoptionen. Sie erhalten einen fundierten Überblick über folgende Themenfelder: Motivation Betrugsprävention Grundlagen zur Blockchain-Technologie Aufbau und Funktion der Blockchain Anwendungsoptionen Rechtliche Fragen Kritische Einschätzung Dieses Fachbuch über Blockchain richtet sich an Führungsverantwortliche, Projektleiter und Interessierte, die sich einen Überblick über das Potenzial der Blockchain-Technologie verschaffen möchten.Table of ContentsMotivation Betrugsprävention - Grundlagen zur Blockchain-Technologie - Aufbau und Funktion der Blockchain - Anwendungsoptionen - Rechtliche Fragen - Kritische Einschätzung

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Book SynopsisDaten werden überall gesammelt. Jeder Kauf, ob online oder offline, jede Autofahrt und jede Benutzung des Smartphones erzeugt Daten, die gespeichert werden. So entstehen Datenberge, die in atemberaubendem Tempo wachsen – für 2020 geht man von 40 Billionen Gigabytes aus. Aber was passiert dann mit diesen Daten? Wie werden sie ausgewertet? Und wer macht das? Holger Aust nimmt Sie mit auf einen unterhaltsamen Ausflug in die wunderbare Welt der Data Science. Sein Buch richtet sich an alle, die schon immer wissen wollten, wie Maschinen anhand von Daten lernen und ob sie dadurch (künstliche) Intelligenz erlangen. Sie erfahren natürlich auch, was neuronale Netze und Deep Learning eigentlich mit all dem zu tun haben. In leicht verständlichem Stil erhalten Sie außerdem Einblicke in die Funktionsweise der wichtigsten Algorithmen und lernen konkrete Beispiele, Herausforderungen und Risiken aus der Praxis kennen: Sie erfahren etwa, wie Mobilfunkanbieter ihre Kunden bei Laune halten, wie Erdbebenvorhersage funktioniert und warum auch Computer zum Schubladendenken neigen.Trade Review“… Aust erklärt mathematische Grundlagen und Formeln ebenso wie die Aufgaben eines Data Scientists. Vom Einzelkämpfer und Alleskönner bis zum Spezialisten in einem Team aus 500 Leuten sind alle möglichen Arbeitsmöglichkeiten drin. … Wer in die Materie einsteigen will, bekommt Grafiken und Tabellen zur Veranschaulichung mit an die Hand. Dass es nötig ist, sich mit dem Thema auseinanderzusetzen, wird die rund 250 Seiten hinweg immer wieder deutlich …” (Marco Krefting, in: dpa-Dossier Wissen, Heft 42, 22. Oktober 2021)Table of ContentsData Science: Die Kunst mit Daten umzugehen.- KI: Hype oder Technologie der Zukunft?- Wie lernt eine Maschine?- Stolz und Vorurteile - Risiken von Data Science.- Typische Aufgaben eines Data Scientists.- Das Gehirn kopieren? - Künstliche neuronale Netze.- Data Science in der Praxis.- Abschluss.

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Book SynopsisÜberlassen Sie im Mininenfeld "Outsourcing" nichts dem Zufall. Das Buch ist der geeignete Praxis-Ratgeber für die nachhaltig erfolgreiche Realisierung von Outsourcing-Vorhaben. Fundierte Entscheidungskriterien sowie das komplette Realisierungswissen für die Praxis. Konkrete Unternehmensbeispiele in nachvollziehbaren Schritten unterstützen den Leser bei der Realisierung eigener Projekte. Damit Sie letztlich einen nachhaltigen Erfolg für Ihr Unternehmen planen und sicherstellen können! "getAbstract.com empfiehlt es allen Managern und Projektleitern, die gerne Dienstleistungen und Prozesse auslagern würden - nur das Lesen müssen sie noch selbst übernehmen." zfo - Zeitschrift für Führung + Organisation, 3/2007Trade Review"getAbstract.com empfiehlt es allen Managern und Projektleitern, die gerne Dienstleistungen und Prozesse auslagern würden - nur das Lesen müssen sie noch selbst übernehmen." zfo- Zeitschrift für Führung + Organisation, 3/2007 "Wer dringend Einsparungen vornehmen muss (und wer muss das heute nicht?) oder strategische Meilensteine für die Zukunft setzen will, hat mit diesem Werk ein grundlegendes Arbeitsbuch zur Hand, das den Prozess des Outsourcings übersichtlich darstellt - samt möglicher Fallen und Tücken. getAbstract.com empfiehlt es allen Managern und Projektleitern, die gern Dienstleistungen und Prozesse auslagern würden - nur das Lesen müssen sie noch selbst übernehmen." www.getabstract.com, 11.04.2005 "Eine übersichtliche und praxisnahe Darstellung der Entscheidungs- und Implementierungsphase von Outsourcing-Projekten mit ." Zeitschrift für Controlling & Management, 01/2005 "In strukturierter und übersichtlicher Art und Weise behandeln die in Praxis und Beratung erfahrenen Autoren das Thema von der Planung bis zum Vertragsabschluss. Fallbeispiele geben dem Buch das Stück Lebendigkeit, das so vielen anderen Fachbüchern fehlt. Lesenswert!" CIO, 05/2004Table of ContentsGrundlagen und Aufgabenstellung - Entscheidungskriterien - Vorgehen, Phasen, Lifecycle (von der Planung zur Implementierung) - Nachhaltige Sicherung des Projekterfolgs - Case Studies: Beispiele und Ergebnisse - Jetzt mit zusätzlichen Übersichtstafeln, Checklisten u.v.m.

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Book SynopsisWas ist Information? Wie kann man sie darstellen, sicher übertragen oder speichern? Viele Fragen, auf die das Buch Antworten gibt. Die Informationstheorie liefert die Grundlage für die Berechnung des Informationsgehalts von diskreten und kontinuierlichen Quellen und deren Darstellung in kodierter Form. So können erforderliche Speicher- und Kanalkapazitäten bei der Informationsverarbeitung und -übertragung in IT-Systemen bestimmt werden.Table of ContentsInformationsquellen und deren Beschreibung - Kodierung diskreter Quellen - Nachrichten und Kanäle - Diskrete Kanäle - Analoge Kanäle - Quantisierung analoger Signale - Kanalkodierung und Fehlerkorrekturverfahren - Bewertung von Kanalkodes

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Book SynopsisSoftware has become a key component of contemporary life and algorithms that rank, classify, or recommend are everywhere. Building on the philosophy of Gilbert Simondon and the cultural techniques tradition, this book examines the constructive and cumulative character of software and retraces the historical trajectories of a series of algorithmic techniques that have become the building blocks for contemporary practices of ordering. Developed in opposition to centuries of library tradition, these techniques instantiate dynamic, perspectivist, and interested forms of knowing. Embedded in technical infrastructures and economic logics, they have become engines of order that transform how we arrange information, ideas, and people.Trade Review"How were computers given the task of searching and classifying information? Engines of Order offers an exciting archaeology of the algorithmic techniques that made these feats possible. It is a unique book that mixes a high level of theorization with a detailed examination of modes of expression in the form of technique." - Dominique Cardon, Professor at Sciences Po Paris and Director, médialab "This book is essential reading for everybody who wants to better understand our algorithmic society. For the first time, a number of key data techniques such as data-driven classification methods are given proper theoretical and historical attention. I highly recommend this clear and smart guide to the world in which we are all living." - Lev Manovich, Professor at City University of New York and Director, Cultural Analytics LabTable of ContentsAcknowledgements Credits Introduction Part I 1. Engines of Order 2. Rethinking Software 3. Software-Making and Algorithmic Techniques Part II 4. From Universal Classification to a Postcoordinated Universe 5. From Frequencies to Vectors 6. Interested Learning 7. Calculating Networks: from Sociometry to PageRank Conclusion: Toward Technical Culture Index

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Book SynopsisThis book will delve into how new ICTs, represented by 5G, collectively empower industries from the perspective of theories and practices. 5G is integrating with cloud, intelligence, big data, and applications to push the boundaries of industries and diversify industrial services. Starting from the background and value of industry digitalization, Section I introduces the new ICT infrastructure for industry digitalization, as well as a new support system based on this infrastructure to enable 5GtoB to bring new value to industries. Section II summarizes the success factors and four key capabilities for achieving 5GtoB success from methodological perspective. Abundant application cases are provided in Section III to explore the adoption of 5GtoB in key enterprises across industries, as well as the benefits brought to these enterprises. The final section analyzes the future evolution and applications of 5GtoB.5G enables a plethora of possibilities. We believe that this book will inspire everyone in the 5GtoB industry chain to embrace 5GtoB and take the digital transformation of industries to new heights.Table of ContentsEditorial Board.- Foreword.- Acknowledgements.- List of Abbreviations.- List of Figures.- List of Tables.- Chapter 1: Background and Value of Industry Digitalization.- Chapter 2: ICT Infrastructure Required for Digital Transformation.- Chapter 3: 5GtoB Market Space and Opportunities.- Chapter 4: 5GtoB Enables Enterprise Production.- Chapter 5: 5GtoB Improves Social Development and Living Standards.- Chapter 6: Construction of the 5GtoB Success Factor System.- Chapter 7: 5GtoB Success Factor Analysis — Performance Capability.- Chapter 8: 5GtoB Success Factor Analysis — Efficiency Capability.- Chapter 9: 5GtoB Success Factor Analysis — Ecosystem Capability.- Chapter 10: 5GtoB Success Factor Analysis — Business Capability.- Chapter 11: Heavy Industry.- Chapter 12: Computers, Communications and Consumer Electronics (3C) Manufacturing .- Chapter 13: Electric Power and Public Transportation.- Chapter 14: Mining and Petrochemical.- Chapter 15: Smart Port.- Chapter 16: Media, Education, and Healthcare.- Chapter 17: 5GtoB Evolution Path.- Chapter 18: Evolution to 5.5G and 6G and Key Applications.- References.

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Book SynopsisThis volume is the result of the author's many-years of research in this field. These results were presented in the author's two books, Introduction to the Algorithmic Measurement Theory (Moscow, Soviet Radio, 1977), and Codes of the Golden Proportion (Moscow, Radio and Communications, 1984), which had not been translated into English and are therefore not known to English-speaking audience. This volume sets forth new informational and arithmetical fundamentals of computer and measurement systems based on Fibonacci p-codes and codes of the golden p-proportions, and also on Bergman's system and 'golden' ternary mirror-symmetrical arithmetic. The book presents some new historical hypotheses concerning the origin of the Egyptian calendar and the Babylonian numeral system with base 60 (dodecahedral hypothesis), as well as about the origin of the Mayan's calendar and their numeral system with base 20 (icosahedral hypothesis). The book is intended for the college and university level. The book will also be of interest to all researchers, who use the golden ratio and Fibonacci numbers in their subject areas, and to all readers who are interested to the history of mathematics.

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Book SynopsisThis book, Management Information and Optoelectronic Engineering, is a collection of papers presented at the 2015 International Conference on Management, Information and Communication and the 2015 International Conference on Optics and Electronics Engineering which was held on October 24-25, 2015 in Xia Men, China. The book provides state-of-the-art research results and development activities in Optics and Electronics Engineering, Management, Information and Communication and will benefit researchers and practitioners in the field.Table of ContentsManagement, Information and Communication; Optics and Electronics Engineering;

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