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Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines
by Yada Pruksachatkun Matthew Mcateer Subho MajumdarWith the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable.Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world.You'll learn:Methods to explain ML models and their outputs to stakeholdersHow to recognize and fix fairness concerns and privacy leaks in an ML pipelineHow to develop ML systems that are robust and secure against malicious attacksImportant systemic considerations, like how to manage trust debt and which ML obstacles require human intervention
Practitioner's Guide to Business Impact Analysis (Security, Audit and Leadership Series)
by Priti SikdarThis book illustrates the importance of business impact analysis, which covers risk assessment, and moves towards better understanding of the business environment, industry specific compliance, legal and regulatory landscape and the need for business continuity. The book provides charts, checklists and flow diagrams that give the roadmap to collect, collate and analyze data, and give enterprise management the entire mapping for controls that comprehensively covers all compliance that the enterprise is subject to have. The book helps professionals build a control framework tailored for an enterprise that covers best practices and relevant standards applicable to the enterprise. Presents a practical approach to assessing security, performance and business continuity needs of the enterprise Helps readers understand common objectives for audit, compliance, internal/external audit and assurance. Demonstrates how to build a customized controls framework that fulfills common audit criteria, business resilience needs and internal monitoring for effectiveness of controls Presents an Integrated Audit approach to fulfill all compliance requirements
Practitioner’s Guide to Data Science (Chapman & Hall/CRC Data Science Series)
by Hui Lin Ming LiThis book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. Yet these activities account for a considerable share of the time and effort for data professionals in the industry. Based on industry experience, this book outlines real-world scenarios and discusses pitfalls that data science practitioners should avoid. It also covers the big data cloud platform and the art of data science, such as soft skills. The authors use R as the primary tool and provide code for both R and Python. This book is for readers who want to explore possible career paths and eventually become data scientists. This book comprehensively introduces various data science fields, soft and programming skills in data science projects, and potential career paths. Traditional data-related practitioners such as statisticians, business analysts, and data analysts will find this book helpful in expanding their skills for future data science careers. Undergraduate and graduate students from analytics-related areas will find this book beneficial to learn real-world data science applications. Non-mathematical readers will appreciate the reproducibility of the companion R and python codes. Key Features: • It covers both technical and soft skills. • It has a chapter dedicated to the big data cloud environment. For industry applications, the practice of data science is often in such an environment. • It is hands-on. We provide the data and repeatable R and Python code in notebooks. Readers can repeat the analysis in the book using the data and code provided. We also suggest that readers modify the notebook to perform analyses with their data and problems, if possible. The best way to learn data science is to do it!
The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems
by Denise Gosnell Matthias BroechelerGraph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you’ll arrive at a unique intersection known as graph thinking.Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You’ll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application.Build an example application architecture with relational and graph technologiesUse graph technology to build a Customer 360 application, the most popular graph data pattern todayDive into hierarchical data and troubleshoot a new paradigm that comes from working with graph dataFind paths in graph data and learn why your trust in different paths motivates and informs your preferencesUse collaborative filtering to design a Netflix-inspired recommendation system
Practitioner's Guide to Operationalizing Data Governance (Wiley and SAS Business Series)
by Mary Anne HopperDiscover what does—and doesn’t—work when designing and building a data governance program In A Practitioner’s Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an effective data governance program. She explores the most common challenges organizations face during and after program development and offers sound, hands-on advice to meet tackle those problems head-on. Ideal for companies trying to resolve a wide variety of issues around data governance, this book: Offers a straightforward starting point for companies just beginning to think about data governance Provides solutions when company employees and leaders don’t—for whatever reason—trust the data the company has Suggests proven strategies for getting a data governance program that’s gone off the rails back on trackComplete with visual examples based in real-world case studies, A Practitioner’s Guide to Operationalizing Data Governance will earn a place in the libraries of information technology executives and managers, data professionals, and project managers seeking a one-stop resource to help them deliver practical data governance solutions.
Practitioner's Knowledge Representation
by Emilia MendesThe main goal of this book is to help organizations improve their effort estimates and effort estimation processes by providing a step-by-step methodology that takes them through the creation and validation of models that are based on their own knowledge and experience. Such models, once validated, can then be used to obtain predictions, carry out risk analyses, enhance their estimation processes for new projects and generally advance them as learning organizations. Emilia Mendes presents the Expert-Based Knowledge Engineering of Bayesian Networks (EKEBNs) methodology, which she has used and adapted during the course of several industry collaborations with different companies world-wide over more than 6 years. The book itself consists of two major parts: first, the methodology's foundations in knowledge management, effort estimation (with special emphasis on the intricacies of software and Web development) and Bayesian networks are detailed; then six industry case studies are presented which illustrate the practical use of EKEBNs. Domain experts from each company participated in the elicitation of the bespoke models for effort estimation and all models were built employing the widely-used Netica (tm) tool. This part is rounded off with a chapter summarizing the experiences with the methodology and the derived models. Practitioners working on software project management, software process quality or effort estimation and risk analysis in general will find a thorough introduction into an industry-proven methodology as well as numerous experiences, tips and possible pitfalls invaluable for their daily work.
Pragmatic Flutter: Building Cross-Platform Mobile Apps for Android, iOS, Web & Desktop
by Priyanka TyagiHave you ever thought of creating beautiful, blazing-fast native apps for iOS and Android from a single codebase? Have you dreamt of taking your native apps to the web and desktop without costing a fortune? If so, Pragmatic Flutter: Building Cross-Platform Mobile Apps for Android, iOS, Web & Desktop is the right place to start your journey to developing cross-platform apps. Google’s Flutter is the brand-new way for developing beautiful, fluid, and blazing-fast cross-platform apps for Android, iOS, web, and desktops (macOS, Linux, Windows). Google’s new Fuchsia OS user interface (UI) is implemented using Flutter as well. Learning to develop mobile apps with Flutter opens the door to multiple devices, form-factors, and platforms using a single codebase. You don’t need any prior experience using Dart to follow along in this book; however, it’s recommended that readers have some familiarity with writing code using one of the object-oriented programming languages. Your journey starts with learning to structure and organize the Flutter project to develop apps for multiple platforms. Next, you will explore the fundamentals of Flutter widgets. The journey continues with Flutter’s layout widgets while also learning to build responsive layouts. You will get an understanding of organizing and applying themes and styles, handling user input, and gestures. Then you will move on to advanced concepts, such as fetching data over the network and integrating and consuming REST API in your app. You will get hands-on experience on design patterns, data modeling, routing, and navigation for multi-screen apps. When you are finished, you will have a solid foundational knowledge of Flutter that will help you move on to building great and successful mobile apps that can be deployed to Android, iOS, web, and desktop (macOS, Linux, Windows) platforms from a single codebase.
Pragmatic Guide to Git
by Travis SwicegoodNeed to learn how to wrap your head around Git, but don't need a lot of hand holding? Grab this book if you're new to Git, not to the world of programming. Git tasks displayed on two-page spreads provide all the context you need, without the extra fluff.
Pragmatic Guide to Subversion
by Mike MasonSubversion is the most popular open-source version control system on the planet. Development teams-big and small, enterprise and open source-use this fast, feature-rich tool daily. Pragmatic Guide to Subversion presents the 48 essential tasks you need to know. It's your shortcut to the Subversion master's recommended set of best practices. With this book, you can get to the good parts quickly, and be more productive and effective.
The Pragmatic Programmer: Your Journey To Mastery, 20th Anniversary Edition
by David Thomas Andrew HuntFor twenty years, the lessons from The Pragmatic Programmer have helped a generation of programmers examine the very essence of software development, independent of any particular language, framework, or methodology. This classic title is regularly featured on “Top Ten” lists, and many corporations issue it to their new hires. This new 20th Anniversary Edition offers a fresh look at the modern development landscape, cutting through the “business as usual” and tired advice from the net to help guide you through the next twenty years and beyond. Featuring new tips, new topics, and revisions throughout, you don’t want to miss this one. Published by Addison Wesley by special arrangement with the Pragmatic Bookshelf.
The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions (Chapman And Hall/crc Machine Learning And Pattern Recognition Ser.)
by Marco Scutari Mauro MalvestioMachine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolution both conceptually and in practical applictions. Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, this book provides a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models. From choosing the right hardware to designing effective pipelines architectures and adopting software development best practices, this guide will appeal to machine learning and data science specialists, whilst also laying out key high-level principlesin a way that is approachable for students of computer science and aspiring programmers.
Pragmatic Python Programming: Learning Python the Smart Way
by Gabor GutaExplore the world of programming languages through Python and learn the building blocks of writing programs. This book covers Python 3.10, explaining it through six key concepts. Each chapter contains a real-world example with practical advice and a section on advanced concepts. You'll start by reviewing the concept of expressions and functions, which are two of the core building blocks of programming languages. You'll then move on to object-oriented concepts to help gain a practical understanding of Python, along with a chapter on control flow constructs. The book also takes a close look at sequences, explaining constructs and additional types, and wraps up with a chapter on modules, focusing on how to use and create packages. Whether you’re new to programming or already an experienced developer, upon finishing this book, you will have a solid understanding of Python's state-of-the-art development features.What You Will LearnStudy the six main concepts of the programming languagesLearn how to use programming language constructs through examplesReview the core Python language notations and concepts.Start using Python as a working language Who This Book Is ForSoftware developers wanting to gain professional core Python knowledge quickly, and non-developers wanting to gain an understanding of programming concepts.
Pragmatic Scala: Create Expressive, Concise, and Scalable Applications
by Venkat SubramaniamOur industry is moving toward functional programming, but your object-oriented experience is still valuable. Scala combines the power of OO and functional programming, and Pragmatic Scala shows you how to work effectively with both. Updated to Scala 2.11, with in-depth coverage of new features such as Akka actors, parallel collections, and tail call optimization, this book will show you how to create stellar applications. The first edition of this book was released as Programming Scala. Our industry is moving toward functional programming, but your object-oriented experience is still valuable. Scala combines the power of OO and functional programming, and Pragmatic Scala shows you how to work effectively with both. Updated to Scala 2.11, with in-depth coverage of new features such as Akka actors, parallel collections, and tail call optimization, this book will show you how to create stellar applications. This thorough introduction to Scala will get you coding in this powerful language right away. You'll start from the familiar ground of Java and, with easy-to-follow examples, you'll learn how to create highly concise and expressive applications with Scala. You'll find out when and how to mix both imperative and functional style, and how to use parallel collections and Akka actors to create high-performance concurrent applications that effectively use multicore processors. Scala has evolved since the first edition of this book, and Pragmatic Scala is a significant update. We've revised each chapter, and added three new chapters and six new sections to explore the new features in Scala. You'll learn how to: Safely manage concurrency with parallel collections and Akka actorsCreate expressive readable code with value classes and improved implicit conversionsCreate strings from data with no sweat using string interpolationCreate domain-specific languagesOptimize your recursions with tail call optimization Whether you're interested in creating concise, robust single-threaded applications or highly expressive, thread-safe concurrent programs, this book has you covered. What You Need: The Scala compiler (2.x) and the JDK are required to make use of the concepts and the examples in this book.
PRAGMATIC Security Metrics: Applying Metametrics to Information Security
by W. Krag Brotby Gary HinsonOther books on information security metrics discuss number theory and statistics in academic terms. Light on mathematics and heavy on utility, PRAGMATIC Security Metrics: Applying Metametrics to Information Security breaks the mold. This is the ultimate how-to-do-it guide for security metrics.Packed with time-saving tips, the book offers easy-to-fo
Pragmatic Software Testing
by Rex BlackA hands-on guide to testing techniques that deliver reliable software and systems Testing even a simple system can quickly turn into a potentially infinite task. Faced with tight costs and schedules, testers need to have a toolkit of practical techniques combined with hands-on experience and the right strategies in order to complete a successful project. World-renowned testing expert Rex Black provides you with the proven methods and concepts that test professionals must know. He presents you with the fundamental techniques for testing and clearly shows you how to select and apply successful strategies to test a system with budget and time constraints. Black begins by discussing the goals and tactics of effective and efficient testing. Next, he lays the foundation of his technique for risk-based testing, explaining how to analyze, prioritize, and document risks to the quality of the system using both informal and formal techniques. He then clearly describes how to design, develop, and, ultimately, document various kinds of tests. Because this is a hands-on activity, Black includes realistic, life-sized exercises that illustrate all of the major test techniques with detailed solutions.
Pragmatic Test-Driven Development in C# and .NET: Write loosely coupled, documented, and high-quality code with DDD using familiar tools and libraries
by Adam TibiBuild realistic applications with both relational and document databases and derive your code design using TDD. Unit test with xUnit and NSubstitute and learn concepts like DDD, SUT, Mocks, Fakes, Test Doubles, SOLID, and FIRSTHANDKey FeaturesBuild a full TDD-based app employing familiar tools and libraries to practice real-world scenariosDerive your architecture using TDD with domain-driven design and SOLID approachKnow the challenges of rolling out TDD and unit testing into your organization and build a planBook DescriptionTest-driven development is a manifesto for incrementally adding features to a product but starting with the unit tests first. Today's project templates come with unit tests by default and implementing them has become an expectation. It's no surprise that TDD/unit tests feature in most job specifications and are important ingredients for most interviews and coding challenges. Adopting TDD will enforce good design practices and expedite your journey toward becoming a better coding architect.This book goes beyond the theoretical debates and focuses on familiarizing you with TDD in a real-world setting by using popular frameworks such as ASP.NET Core and Entity Framework. The book starts with the foundational elements before showing you how to use Visual Studio 2022 to build an appointment booking web application. To mimic real-life, you'll be using EF, SQL Server, and Cosmos, and utilize patterns including repository, service, and builder. This book will also familiarize you with domain-driven design (DDD) and other software best practices, including SOLID and FIRSTHAND.By the end of this TDD book, you'll have become confident enough to champion a TDD implementation. You'll also be equipped with a business and technical case for rolling out TDD or unit testing to present to your management and colleagues.What you will learnWriting unit tests with xUnit and getting to grips with dependency injectionImplementing test doubles and mocking with NSubstituteUsing the TDD style for unit testing in conjunction with DDD and best practicesMixing TDD with the ASP.NET API, Entity Framework, and databasesMoving to the next level by exploring continuous integration with GitHubGetting introduced to advanced mocking scenariosChampioning your team and company for introducing TDD and unit testingWho this book is forThis book is for mid to senior-level .NET developers looking to use the potential of TDD to develop high-quality software. Basic knowledge of OOP and C# programming concepts is assumed but no knowledge of TDD or unit testing is expected. The book provides in-depth coverage of all the concepts of TDD and unit testing, making it an excellent guide for developers who want to build a TDD-based application from scratch or planning to introduce unit testing into their organization.
Pragmatic Thinking and Learning: Refactor Your Wetware (Pragmatic Programmers)
by Andy HuntPrinted in full color.Software development happens in your head. Not in an editor, IDE, or designtool. You're well educated on how to work with software and hardware, but what about wetware--our own brains? Learning new skills and new technology is critical to your career, and it's all in your head.In this book by Andy Hunt, you'll learn how our brains are wired, and how to take advantage of your brain's architecture. You'll learn new tricks and tipsto learn more, faster, and retain more of what you learn.You need a pragmatic approach to thinking and learning. You need to Refactor Your Wetware.Programmers have to learn constantly; not just the stereotypical new technologies, but also the problem domain of the application, the whims of the user community, the quirks of your teammates, the shifting sands of the industry, and the evolving characteristics of the project itself as it is built. We'll journey together through bits of cognitive and neuroscience, learning and behavioral theory. You'll see some surprising aspects of how our brains work, and how you can take advantage of the system to improve your own learning and thinking skills.In this book you'll learn how to:Use the Dreyfus Model of Skill Acquisition to become more expertLeverage the architecture of the brain to strengthen different thinking modesAvoid common "known bugs" in your mindLearn more deliberately and more effectivelyManage knowledge more efficiently
Pragmatic Unit Testing in Java 8 with JUnit
by Jeff Langr Andy Hunt Dave ThomasThe Pragmatic Programmers classic is back! Freshly updated for modern software development, Pragmatic Unit Testing in Java 8 With JUnit teaches you how to write and run easily maintained unit tests in JUnit with confidence. You'll learn mnemonics to help you know what tests to write, how to remember all the boundary conditions, and what the qualities of a good test are. You'll see how unit tests can pay off by allowing you to keep your system code clean, and you'll learn how to handle the stuff that seems too tough to test.Pragmatic Unit Testing in Java 8 With JUnit steps you through all the important unit testing topics. If you've never written a unit test, you'll see screen shots from Eclipse, IntelliJ IDEA, and NetBeans that will help you get past the hard part--getting set up and started.Once past the basics, you'll learn why you want to write unit tests and how to effectively use JUnit. But the meaty part of the book is its collected unit testing wisdom from people who've been there, done that on production systems for at least 15 years: veteran author and developer Jeff Langr, building on the wisdom of Pragmatic Programmers Andy Hunt and Dave Thomas. You'll learn:How to craft your unit tests to minimize your effort in maintaining them. How to use unit tests to help keep your system clean.How to test the tough stuff.Memorable mnemonics to help you remember what's important when writing unit tests.How to help your team reap and sustain the benefits of unit testing.You won't just learn about unit testing in theory--you'll work through numerous code examples. When it comes to programming, hands-on is the only way to learn!
Pragmatic Unit Testing in Java with JUnit
by Jeff LangrThe classic Pragmatic Unit Testing with Java in JUnit returns for a third edition, streamlined and rewritten with updated and more accessible code examples. In this edition, you'll learn how to create concise, maintainable unit tests with confidence. New chapters provide a foundation of examples for testing common concepts, and guidance on incorporating modern AI tools into your development and testing. Updated topics include improving test quality via development mnemonics, increasing ROI through test and production code refactoring, and using tests to drive development. Pragmatic Unit Testing in Java with JUnit steps you through all the important unit testing topics. If you've never written a unit test, you'll be hand-held through the hard part - getting set up and started. Once past the basics, you'll see numerous examples in order to start understanding what tests for common code concepts look like. You'll then learn how to effectively use the essential features of JUnit, the predominant tool for writing and executing unit tests in Java. You'll gain the combined wisdom of Jeff Langr and original authors Andy Hunt and Dave Thomas, providing decades of unit testing experience on real production systems. You'll learn how to: Craft your code to make unit testing easier in the first placeCraft your unit tests to minimize your maintenance effortUse unit tests to support keeping your system clean through refactoringRefactor toward a design that will create the highest possible ROITest the tough stuff, including code that must be mockedRemember what's important when writing unit testsHelp your team reap and sustain the benefits of unit testingUse AI tooling as part of a development process that incorporates unit testing You won't just learn about unit testing in theory - you'll learn about "real" unit testing the Pragmatic way, by working through numerous code examples. What You Need: You'll need the Java SDK (Software Development Kit) version 21 or higher to work through the examples in the book. You'll also want an IDE (Integrated Development Environment) in which to build code. While most of the book doesn't assume use of any specific IDE, you'll find a number of "getting started" screen shots to help you if you're using IntelliJ IDEA.
Pragmatic Version Control Using Git (Pragmatic Starter Kit)
by Travis SwicegoodThere's a change in the air. High-profile projects such as the Linux Kernel, Mozilla, Gnome, and Ruby on Rails are now using Distributed Version Control Systems (DVCS) instead of the old stand-bys of CVS or Subversion.Git is a modern, fast, DVCS. But understanding how it fits into your development can be a daunting task without an introduction to the new concepts. Whether you're just starting out as a professional programmer or are an old hand, this book will get you started using Git in this new distributed world.
Pragmatics: A Multidisciplinary Perspective (Perspectives In Pragmatics, Philosophy And Psychology Ser. #3)
by Louise CummingsThe first truly multidisciplinary text of its kind, this book offers an original analysis of the current state of linguistic pragmatics. Cummings argues that no study of pragmatics can reasonably neglect the historical and contemporary influences on this discipline of neighboring fields of inquiry, particularly philosophy, psychology, artificial intelligence, and language pathology. By the same token, these fields can begin to address their own questions more productively by examining the insights of pragmatics. The book's range of topics and depth of analysis will be of interest to advanced undergraduate and more specialized readers in linguistics, communication studies, speech and language therapy, and cognitive science. Topics discussed include:*coverage of pragmatic concepts and theories;*criticisms of Sperber and Wilson's relevance theory, Habermas's theory of communicative competence, and Kasher's views on the modularity of pragmatics;*pragmatic deficits in a range of child and adult language disorders; and*a pragmatic analysis of argumentation in topical issues such as AIDS and BSE theories of meaning, inferences, pragmatics and AI.
Praxeologische Medienbildung: Theoretische und empirische Perspektiven auf sozio-mediale Habitustransformationen
by Patrick BettingerIn diesem Buch werden Aspekte einer praxeologisch ausgerichteten und empirisch fundierten Medienbildungstheorie skizziert, die das Zusammenspiel von Menschen und medialen Artefakten in Bildungsprozessen eingehend beleuchten. Medienbildung wird hierbei als ein Transformationsprozess verstanden, der sich durch das Wechselverhältnis von personalem Habitus und ‚Quasi-Habitus’ medialer Artefakte auszeichnet. Anhand einer fallübergreifenden Perspektive auf Grundlage der dokumentarischen Analyse biografisch-narrativer Interviews sowie medialer Artefakte werden drei Varianten sozio-medialer Habituskonfigurationen identifiziert, die Bildungsprozesse in jeweils spezifischer Weise prägen.
Praxis-Check digitale Markenführung im Mittelstand: Leitfaden für die nachhaltige Transformation von analog zu digital (essentials)
by Arnd Zschiesche Oliver ErrichielloOliver Errichiello und Arnd Zschiesche erklären in diesem essential das „Phänomen Marke“ zunächst grundlegend und zeitunabhängig, gerade um die gängigen, kurzfristigen digitalen Marketingmoden zu entkräften – denn „Überzeugen“ folgt im Netz den identischen Prinzipien wie am Marktstand. In einem zweiten Schritt unterstützen sie Markenverantwortliche dabei, die Faktoren zu operationalisieren, die eine Marke im Netz langfristig erfolgreich machen, und geben Schritt für Schritt einen praxisorientierten Positionierungsbauplan. Auf wissenschaftlicher Basis verdeutlichen die Autoren, dass starke Marken niemals Empfänger, sondern immer Sender sind – insbesondere dann, wenn die Welt um uns herum immer unübersichtlicher wird.
Praxis der Personalisierung im Handel
by Eva Stüber Kai HudetzPersonalisierung gilt im Handel als wichtiger Wettbewerbsvorteil. Dieses Buch zeigt, wie der Handel mittels zeitgemäßer E-Commerce-Technologie kundenindividuelle Angebote erzeugen kann, um Umsätze und den Kundenwert zu steigern. Autoren aus der Forschung, Beratung und Praxis erklären die Möglichkeiten und Wirkungen der Personalisierung und geben einen Ausblick auf zukünftige Entwicklungen. Fallbeispiele von bekannten Onlinehändlern illustrieren den Best Practice. Obwohl über das Thema viel gesprochen wird, gibt es viele offene Fragen von der Konzeption über Realisierungsoptionen bis hin zu rechtlichen Aspekten. Dieses Buch liefert Antworten.