Aufgrund des grof.\en Erfolges der 4. Saarbrticker Arbeitstagung mit dem Thema Rech- nungswesen und EDV, der deutlich werden lieB, daf.\ die Diskussion tiber die Grundlagen, Gestaltungsaltemativen, Verfahrens- und Schnittstellenprobleme eines EDV -gestiitzten Rechnungswesens in der betrieblichen Praxis auf unvermindert reges Interesse st6Bt, haben wir uns entschlossen, das obige Thema (bis auf weiteres) als Generalthema der Saar- brticker Arbeitstagungen beizubehalten. Hierbei werden aber die Schwerpunkte jeweils veriindert und an erkennbare Entwicklungstendenzen des computergesttitzten Rechnungs- wesens angepaf.\t. Der Schwerpunkt der 5. Saarbrticker Arbeitstagung und damit des vorliegenden Tagungs- bandes liegt auf Fragen des Einsatzes von Personal Computem (Mikrocomputem) irn Rechnungswesen und Controlling. Das Ziel des Tagungsprogramms besteht darin, einen Vberblick tiber die M6glichkeiten zu geben, die der organisatorischen Gestaltung und den Auswertungsverfahren des Rechnungswesens durch die Entwicklung leistungsfahiger Personal Computer erOffnet werden. In Ubersichtsvortriigen werden zunachst die Entwicklungstendenzen des innerbetrieb- lichen Rechnungswesens von einer tiberwiegend periodenorientierten zu einer starker aktionsorientierten betriebswirtschaftlichen Steuerungsrechnung aufgezeigt und unter- sucht, ob der Einsatz von Personal Computem ein zusatzliches Auswertungsinstrument oder integraler Bestandteil eines computergesteuerten Rechnungswesens ist. Da individuelle Auswertungen eines Benutzers eine wirksame Datenbasis voraussetzen, wird er6rtert, ob und inwieweit die Konzeption der Grundrechnung in besonderem MaBe als Grundlage einer datenbankorientierten Kostenrechnung geeignet ist. In einem weitereh Vortrag wird ein Vberblick tiber die Einsatzm6glichkeiten von spread sheet Programmen im Rechnungswesen gegeben.

Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you'll need to become one. You'll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You'll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases. By the end of this book, you'll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is forThis book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You'll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.

Implement critical business processes with mySAP Business Suite to integrate key functions that add value to every facet of your organization Key Features Learn master data concepts and UI technologies in SAP systems Explore key functions of different sales processes, order fulfillment options, transportation planning, logistics execution processes, and customer invoicing Configure the Order to Cash process in SAP systems and apply it to your business needs Book DescriptionUsing different SAP systems in an integrated way to gain maximum benefits while running your business is made possible by this book, which covers how to effectively implement SAP Order to Cash Process with SAP Customer Relationship Management (CRM), SAP Advanced Planning and Optimization (APO), SAP Transportation Management System (TMS), SAP Logistics Execution System (LES), and SAP Enterprise Central Component (ECC). You'll understand the integration of different systems and how to optimize the complete Order to Cash Process with mySAP Business Suite. With the help of this book, you'll learn to implement mySAP Business Suite and understand the shortcomings in your existing SAP ECC environment. As you advance through the chapters, you'll get to grips with master data attributes in different SAP environments and then shift focus to the Order to Cash cycle, including order management in SAP CRM, order fulfillment in SAP APO, transportation planning in SAP TMS, logistics execution in SAP LES, and billing in SAP ECC. By the end of this SAP book, you'll have gained a thorough understanding of how different SAP systems work together with the Order to Cash process. What you will learn Discover master data in different SAP environments Find out how different sales processes, such as quotations, contracts, and order management, work in SAP CRM Become well-versed with the steps involved in order fulfillment, such as basic and advanced ATP checks in SAP APO Get up and running with transportation requirement and planning and freight settlement with SAP TMS Explore warehouse management with SAP LES to ensure high transparency and predictability of processes Understand how to process customer invoicing with SAP ECC Who this book is forThis book is for SAP consultants, SME managers, solution architects, and key users of SAP with knowledge of end-to-end business processes. Customers operating SAP CRM, SAP TMS, and SAP APO as part of daily operations will also benefit from this book by understanding the key capabilities and integration touchpoints. Working knowledge of SAP ECC, SAP CRM, SAP APO, SAP TMS, and SAP LES is necessary to get started with this book.

Die vorliegende Dissertation entstand wahrend meiner Tatig- keit als wissenschaftlicher Mitarbeiter am Fraunhofer- Institut fUr Produktionstechnik und Automatisierung (IPA) in Stuttgart. Herrn Professor Dr.-Ing. H.-J. Warnecke, dem Direktor des IPA sowie Leiter des Instituts fUr Industrielle Fertigung und Fabrikbetrieb der Universitat Stuttgart, bin ich fUr seine wohlwollende UnterstUtzung und seine Forderung bei der Durch- fUhrung der Arbeit zu groBem Dank verpflichtet. Herrn Professor Dr.-Ing. H. Grabowski danke ich vielmals fUr die eingehende Durchsicht der Arbeit und die sich daraus ergebenden Hinweise. Bei der DurchfUhrung der fUr die vorliegende Dissertation not- wendigen Untersuchungen wurde ich in groBzUgiger Weise von der Firma Siemens AG (GWK) in Karlsruhe unterstUtzt. HierfUr mochte ich insbesondere den Herren K. Adam, Obering. E. Bux und Ing. (grad.) E. KUhne danken. DarUber hinaus mochte ich allen Mitarbeitern der genannten Institute danken, die mir durch Kritik und Diskussionsbereit- schaft beim Abfassen der Arbeit behilflich waren. Dieser Dank gilt insbesondere den Herren Dipl.-Ing. G.W. Dobler, Dr.-Ing. O. Hirschbach und bipl.-Math. R. Scheel.

Get to grips with the tools, services, and functions needed for application migration to help you move from legacy applications to cloud-native on Google Cloud Key Features Discover how a sample legacy application can be transformed into a cloud-native application on Google Cloud Learn where to start and how to apply application modernization techniques and tooling Work with real-world use cases and instructions to modernize an application on Google Cloud Book DescriptionLegacy applications, which comprise 75-80% of all enterprise applications, often end up being stuck in data centers. Modernizing these applications to make them cloud-native enables them to scale in a cloud environment without taking months or years to start seeing the benefits. This book will help software developers and solutions architects to modernize their applications on Google Cloud and transform them into cloud-native applications. This book helps you to build on your existing knowledge of enterprise application development and takes you on a journey through the six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining. You'll learn how to modernize a legacy enterprise application on Google Cloud and build on existing assets and skills effectively. Taking an iterative and incremental approach to modernization, the book introduces the main services in Google Cloud in an easy-to-understand way that can be applied immediately to an application. By the end of this Google Cloud book, you'll have learned how to modernize a legacy enterprise application by exploring various interim architectures and tooling to develop a cloud-native microservices-based application. What you will learn Discover the principles and best practices for building cloud-native applications Study the six Rs of migration strategy and learn when to choose which strategy Rehost a legacy enterprise application on Google Compute Engine Replatform an application to use Google Load Balancer and Google Cloud SQL Refactor into a single-page application (SPA) supported by REST services Replatform an application to use Google Identity Platform and Firebase Authentication Refactor to microservices using the strangler pattern Automate the deployment process using a CI/CD pipeline with Google Cloud Build Who this book is forThis book is for software developers and solutions architects looking to gain experience in modernizing their enterprise applications to run on Google Cloud and transform them into cloud-native applications. Basic knowledge of Java and Spring Boot is necessary. Prior knowledge of Google Cloud is useful but not mandatory.

Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from data Key Features Get well-versed with DataRobot features using real-world examples Use this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycle Make use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML models Book DescriptionDataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization. You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities. By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors. What you will learn Understand and solve business problems using DataRobot Use DataRobot to prepare your data and perform various data analysis tasks to start building models Develop robust ML models and assess their results correctly before deployment Explore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problem Analyze a model's predictions and turn them into actionable insights for business users Understand how DataRobot helps in governing, deploying, and maintaining ML models Who this book is forThis book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.

Learn how to create sophisticated and reliable Logic Apps with improved UX Key Features Become an Azure Master and create data flows within a matter of minutes Perform transfers using Logic Apps with prompt results Create powerful Logic Apps by enhancing your systems to improve user experience Book DescriptionLogic Apps are a visual flowchart-like representation of common programming actions, and are a flexible way to create logic without writing a single line of code. Enterprise Integration with Azure Logic Apps is a comprehensive introduction for anyone new to Logic Apps which will boost your learning skills and allow you to create rich, complex, structured, and reusable logic with instant results. You'll begin by discovering how to navigate the Azure portal and understand how your objects can be zoned to a specific environment by using resource groups. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will teach you the benefits and foundations of Logic App logic design. As you advance, you'll find out how to manage your Azure environment in relation to Logic Apps and how to create elegant and reliable Logic Apps. With useful and practical explanations of how to get the most out of Logic App actions and triggers, you'll be able to ensure that your Logic Apps work efficiently and provide seamless integration for real-world scenarios without having to write code. By the end of this Logic Apps book, you'll be able to create complex and powerful Logic Apps within minutes, integrating large amounts of data on demand, enhancing your systems, and linking applications to improve user experience. What you will learn Understand how to use blades, overview pages, and subscription pages Discover how to create a Microsoft account to manage your tenant Use a Visual Studio subscription with Azure to manage your Logic Apps Find out how to manage the cloud by analyzing runs, executions, and costs Create resource groups to zone your enterprise environments Support a development life cycle from sandbox through to production Who this book is forIf you are an aspiring infrastructure technician who already uses Azure in place of on-premises solutions and is now looking to link systems together, then this book is for you. This book is also for developers interested in systems integration where legacy systems may not have a direct data link and the cloud is the intermediary step. Power users with existing IT skills and experience with Power BI and Power Automate will also find this book useful.

Learn how to bring your data to life with this hands-on guide to visual analytics with Tableau Key Features Master the fundamentals of Tableau Desktop and Tableau Prep Learn how to explore, analyze, and present data to provide business insights Build your experience and confidence with hands-on exercises and activities Book DescriptionLearning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience. As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users. All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays. By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions. What you will learn Become an effective user of Tableau Prep and Tableau Desktop Load, combine, and process data for analysis and visualization Understand different types of charts and when to use them Perform calculations to engineer new data and unlock hidden insights Add interactivity to your visualizations to make them more engaging Create holistic dashboards that are detailed and user-friendly Who this book is forThis book is for anyone who wants to get started on visual analytics with Tableau. If you're new to Tableau, this Workshop will get you up and running. If you already have some experience in Tableau, this book will help fill in any gaps, consolidate your understanding, and give you extra practice of key tools.

Learn how to defend your ICS in practice, from lab setup and intel gathering to working with SCADA Key Features Become well-versed with offensive ways of defending your industrial control systems Learn about industrial network protocols, threat hunting, Active Directory compromises, SQL injection, and much more Build offensive and defensive skills to combat industrial cyber threats Book DescriptionThe industrial cybersecurity domain has grown significantly in recent years. To completely secure critical infrastructure, red teams must be employed to continuously test and exploit the security integrity of a company's people, processes, and products. This is a unique pentesting book, which takes a different approach by helping you gain hands-on experience with equipment that you'll come across in the field. This will enable you to understand how industrial equipment interacts and operates within an operational environment. You'll start by getting to grips with the basics of industrial processes, and then see how to create and break the process, along with gathering open-source intel to create a threat landscape for your potential customer. As you advance, you'll find out how to install and utilize offensive techniques used by professional hackers. Throughout the book, you'll explore industrial equipment, port and service discovery, pivoting, and much more, before finally launching attacks against systems in an industrial network. By the end of this penetration testing book, you'll not only understand how to analyze and navigate the intricacies of an industrial control system (ICS), but you'll also have developed essential offensive and defensive skills to proactively protect industrial networks from modern cyberattacks. What you will learn Set up a starter-kit ICS lab with both physical and virtual equipment Perform open source intel-gathering pre-engagement to help map your attack landscape Get to grips with the Standard Operating Procedures (SOPs) for penetration testing on industrial equipment Understand the principles of traffic spanning and the importance of listening to customer networks Gain fundamental knowledge of ICS communication Connect physical operational technology to engineering workstations and supervisory control and data acquisition (SCADA) software Get hands-on with directory scanning tools to map web-based SCADA solutions Who this book is forIf you are an ethical hacker, penetration tester, automation engineer, or IT security professional looking to maintain and secure industrial networks from adversaries, this book is for you. A basic understanding of cybersecurity and recent cyber events will help you get the most out of this book.

Learn how to write automated tests for Dynamics 365 Business Central and discover how you can implement them in your daily work Key Features Leverage automated testing to advance over traditional manual testing methods Write, design, and implement automated tests Explore various testing frameworks and tools compatible with Microsoft Dynamics 365 Business Central Book DescriptionDynamics 365 Business Central is a cloud-based SaaS ERP proposition from Microsoft. With development practices becoming more formal, implementing changes or new features is not as simple as it used to be back when Dynamics 365 Business Central was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision, and the call for test automation is increasing. This book will show you how to leverage the testing tools available in Dynamics 365 Business Central to perform automated testing. Starting with a quick introduction to automated testing and test-driven development (TDD), you'll get an overview of test automation in Dynamics 365 Business Central. You'll then learn how to design and build automated tests and explore methods to progress from requirements to application and testing code. Next, you'll find out how you can incorporate your own as well as Microsoft tests into your development practice. With the addition of three new chapters, this second edition covers in detail how to construct complex scenarios, write testable code, and test processes with incoming and outgoing calls. By the end of this book, you'll be able to write your own automated tests for Microsoft Business Central. What you will learn Understand the why and when of automated testing Discover how test-driven development can help to improve automated testing Explore the six pillars of the Testability Framework of Business Central Design and write automated tests for Business Central Make use of standard automated tests and their helper libraries Understand the challenges in testing features that interact with the external world Integrate automated tests into your development practice Who this book is forThis book is for consultants, testers, developers, and development managers working with Microsoft Dynamics 365 Business Central. Functional as well as technical development teams will find this book on automated testing techniques useful.

Develop a complete authorization concept for SAP S/4HANA and SAP Fiori with this guide! Start by understanding how authorizations work in an ABAP system and exploring the main transactions you'll use for configuration. Then learn to create roles with Transaction SU24 and the Profile Generator, track and correct missing authorizations with traces, manage users, and more. See how SAP Access Control can be a useful tool to manage authorizations and learn to migrate authorizations to SAP S/4HANA. Highlights include:1) ABAP authorizations2) Roles3) Transaction SU24 4) Profile Generator5) Authorization traces6) User maintenance7) SAP Access Control8) Debugging9) Migration10) Xiting Authorizations Management Suite (XAMS)

Use AI solutions in Salesforce to design complete enterprise solutions for sales, service, marketing, and commerce clouds and drive digital innovation in your organization Key Features Learn how to use Salesforce's AI features and capabilities to meet ever-evolving client needs Get expert advice on key architectural decisions and trade-offs when designing AI-driven Salesforce solutions Integrate third-party AI services into applications that modernize your solutions Book DescriptionWritten for Salesforce architects who want quickly implementable AI solutions for their business challenges, Architecting AI Solutions on Salesforce is a shortcut to understanding Salesforce Einstein's full capabilities - and using them. To illustrate the full technical benefits of Salesforce's own AI solutions and components, this book will take you through a case study of a fictional company beginning to adopt AI in its Salesforce ecosystem. As you progress, you'll learn how to configure and extend the out-of-the-box features on various Salesforce clouds, their pros, cons, and limitations. You'll also discover how to extend these features using on- and off-platform choices and how to make the best architectural choices when designing custom solutions. Later, you'll advance to integrating third-party AI services such as the Google Translation API, Microsoft Cognitive Services, and Amazon SageMaker on top of your existing solutions. This isn't a beginners' Salesforce book, but a comprehensive overview with practical examples that will also take you through key architectural decisions and trade-offs that may impact the design choices you make. By the end of this book, you'll be able to use Salesforce to design powerful tailor-made solutions for your customers with confidence. What you will learn Explore the Salesforce's AI components and the architectural model for Salesforce Einstein Extend the out-of-the-box features using Einstein Services on major Salesforce clouds Use Einstein declarative features to create your custom solutions with the right approach Design AI solutions on marketing, commerce, and industry clouds Use Salesforce Einstein Platform Services APIs to create custom AI solutions Integrate third-party AI services such as Microsoft Cognitive Services and Amazon SageMaker into Salesforce Who this book is forThis book is for technical and functional architects, technical decision-makers working on the Salesforce ecosystem, as well as anyone responsible for designing AI solutions in their Salesforce ecosystem. Lead and senior Salesforce developers who want to start their Salesforce architecture journey will also find this book helpful. Working knowledge of the Salesforce platform is necessary to get the most out of this book.